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Paper Citation Record · LEDGER

A foundation model for atomistic materials chemistry

As of 3 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 54 inbound Pith citation observations for arXiv:2401.00096.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.00096 v3

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T10:16:16.287215Z

measured 154 of 154 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 54 of 54 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:41:14.168187Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

100 of 299 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bff6b267-c0df-46a6-b77f-9b549e0bf7bb · outbound

This paper cites Self-consistent equations including exchange and correlation effects.

A foundation model for atomistic materials chemistry Self-consistent equations including exchange and correlation effects

Reference 1

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Observation 8b19563b-66ea-48a6-a549-083a672af5c1 · outbound

This paper cites Quantum ESPRESSO toward the exascale.

A foundation model for atomistic materials chemistry Quantum ESPRESSO toward the exascale

Reference 2

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Observation 24372c6a-292d-493e-9a25-83dd477ab6bd · outbound

This paper cites Cp2k: An electronic structure and molecular dynamics software package-quickstep: Efficient and accurate electronic structure calculations.

A foundation model for atomistic materials chemistry Cp2k: An electronic structure and molecular dynamics software package-quickstep: Efficient and accurate electronic structure calculations

Reference 3

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Observation 827cbe95-a629-4b40-8d09-2fbe1c71c95e · outbound

This paper cites Ab initio molecular dynamics for liquid metals.

A foundation model for atomistic materials chemistry Ab initio molecular dynamics for liquid metals

Reference 4

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Observation 418feae3-92a9-4ac0-bf11-0d926568702d · outbound

This paper cites Density functional theory in the solid state.

A foundation model for atomistic materials chemistry Density functional theory in the solid state

Reference 5

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Source-reported events for the cited work

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Observation 6f096a54-c8c5-4b6e-8d93-863f8e0f8154 · outbound

This paper cites Computational predictions of energy materials using density functional theory.

A foundation model for atomistic materials chemistry Computational predictions of energy materials using density functional theory

Reference 6

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Observation f2abe56d-70fb-4531-bc8b-7b89f18f34c9 · outbound

This paper cites Density functional theory in materials science.

A foundation model for atomistic materials chemistry Density functional theory in materials science

Reference 7

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Source-reported events for the cited work

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Observation 4e67b199-7af5-4027-ab5a-a32e03cae258 · outbound

This paper cites Finnis,Interatomic forces in condensed matter, vol.

A foundation model for atomistic materials chemistry Finnis,Interatomic forces in condensed matter, vol

Reference 8

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Source-reported events for the cited work

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Observation 0a573a3f-df51-498d-8502-41ff2a388b3c · outbound

This paper cites Generalized neural-network representation of high-dimensional potential- energy surfaces.

A foundation model for atomistic materials chemistry Generalized neural-network representation of high-dimensional potential- energy surfaces

Reference 9

Resolution
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Source-reported events for the cited work

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Observation d0c012c3-8c0d-406e-ba40-a413d524eb2e · outbound

This paper cites Gaussian approximation potentials: The accuracy of quantum mechanics, without the electrons.

A foundation model for atomistic materials chemistry Gaussian approximation potentials: The accuracy of quantum mechanics, without the electrons

Reference 10

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Source-reported events for the cited work

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Observation a39695d4-e457-49a2-bd4c-27ab4d876e59 · outbound

This paper cites Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials.

A foundation model for atomistic materials chemistry Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials

Reference 11

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Source-reported events for the cited work

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Observation 2f723aa6-81af-4d10-9009-515b4aac5f2d · outbound

This paper cites SchNet – A deep learning architecture for molecules and materials.

A foundation model for atomistic materials chemistry SchNet – A deep learning architecture for molecules and materials

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 9b020d63-55da-4ec9-94f6-65e3ad461f3f · outbound

This paper cites Machine Learning Interatomic Potentials as Emerging Tools for Materials Science.

A foundation model for atomistic materials chemistry Machine Learning Interatomic Potentials as Emerging Tools for Materials Science

Reference 13

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Source-reported events for the cited work

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Observation 71fc94f5-f2b6-4840-83a9-68bd332d6565 · outbound

This paper cites Atomic cluster expansion for accurate and transferable interatomic potentials.

A foundation model for atomistic materials chemistry Atomic cluster expansion for accurate and transferable interatomic potentials

Reference 14

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Observation b960fc88-1fab-4aa8-a8dd-f8f544162ee7 · outbound

This paper cites Retrospective on a decade of machine learning for chemical discov- ery.

A foundation model for atomistic materials chemistry Retrospective on a decade of machine learning for chemical discov- ery

Reference 15

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Source-reported events for the cited work

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Observation 79e07c5d-362b-4ce5-aa2c-e352a7020b78 · outbound

This paper cites E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials.

A foundation model for atomistic materials chemistry E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Reference 16

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Observation 645ac7ef-1207-466b-a095-1a10ed53335b · outbound

This paper cites Recent advances and outstanding challenges for machine learning interatomic potentials.

A foundation model for atomistic materials chemistry Recent advances and outstanding challenges for machine learning interatomic potentials

Reference 17

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Source-reported events for the cited work

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Observation f9d1c89b-d577-4f0a-8e92-275b035a2c9e · outbound

This paper cites Gaussian process regression for materials and molecules.

A foundation model for atomistic materials chemistry Gaussian process regression for materials and molecules

Reference 18

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Source-reported events for the cited work

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Observation bd826841-5d14-4782-9390-b7b4c3022612 · outbound

This paper cites Mace: Higher order equivariant message passing neural networks for fast and accurate force fields.

A foundation model for atomistic materials chemistry Mace: Higher order equivariant message passing neural networks for fast and accurate force fields

Reference 19

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Observation 4720b7d1-0fba-471f-8dde-37a5b3fbc155 · outbound

This paper cites Atomic cluster expansion: Completeness, efficiency and stability.

A foundation model for atomistic materials chemistry Atomic cluster expansion: Completeness, efficiency and stability

Reference 20

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Observation 3e7b3f32-791b-42a6-8ff4-b8827f88b2f9 · outbound

This paper cites Performant implementation of the atomic cluster expansion (pace) and application to copper and silicon.

A foundation model for atomistic materials chemistry Performant implementation of the atomic cluster expansion (pace) and application to copper and silicon

Reference 21

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Observation 412e44f3-6d49-410c-99fe-4004f7ee916c · outbound

This paper cites Acepotentials. jl: A julia implementation of the atomic cluster expansion.

A foundation model for atomistic materials chemistry Acepotentials. jl: A julia implementation of the atomic cluster expansion

Reference 22

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Observation 02753090-329f-411c-a175-bb51fd516ee9 · outbound

This paper cites The design space of E(3)-equivariant atom-centred interatomic potentials.

A foundation model for atomistic materials chemistry The design space of E(3)-equivariant atom-centred interatomic potentials

Reference 23

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Observation e7657215-d8bc-4c2a-babf-7e5e2dd1a37c · outbound

This paper cites Tensor- reduced atomic density representations.

A foundation model for atomistic materials chemistry Tensor- reduced atomic density representations

Reference 24

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Source-reported events for the cited work

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Observation 76c6e0fb-484e-4e85-9199-42cb435034b0 · outbound

This paper cites Three Iterations of (d - 1)- WL Test Distinguish Non Isometric Clouds of d-dimensional Points.

A foundation model for atomistic materials chemistry Three Iterations of (d - 1)- WL Test Distinguish Non Isometric Clouds of d-dimensional Points

Reference 25

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This paper cites Bench- mark oxygen-oxygen pair-distribution function of ambient water from x-ray diffraction measurements with a wide Q-range.

A foundation model for atomistic materials chemistry Bench- mark oxygen-oxygen pair-distribution function of ambient water from x-ray diffraction measurements with a wide Q-range

Reference 26

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Observation 01e1cc0a-6ab4-4f72-b6f9-3ad99298bdf6 · outbound

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A foundation model for atomistic materials chemistry Unresolved cited work

Reference 27

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Observation 6e9d8047-edc6-4037-9f72-67cf1243d23b · outbound

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A foundation model for atomistic materials chemistry Molecular Origin of the Vibrational Structure of Ice Ih

Reference 28

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Source-reported events for the cited work

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A foundation model for atomistic materials chemistry A consistent and accurate ab initio parametrization of density functional dispersion correction (dft-d) for the 94 elements h-pu

Reference 29

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Observation 7c90c646-c470-4973-8c5a-7ae901442b86 · outbound

This paper cites Crumblingcrystals: Onthedissolutionmechanism of nacl in water.

A foundation model for atomistic materials chemistry Crumblingcrystals: Onthedissolutionmechanism of nacl in water

Reference 30

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Observation 7c7e6a19-0327-402f-be0c-be497235b28f · outbound

This paper cites Perspective: How good is dft for water?.

A foundation model for atomistic materials chemistry Perspective: How good is dft for water?

Reference 31

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Source-reported events for the cited work

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Observation 446186c1-bc47-493c-839d-f6f35faa057f · outbound

This paper cites The nature of the hydrated excess proton in water.

A foundation model for atomistic materials chemistry The nature of the hydrated excess proton in water

Reference 32

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A foundation model for atomistic materials chemistry The nature and transport mechanism of hydrated hydroxide ions in aqueous solution

Reference 33

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Observation 8dcb5957-9bb0-4883-8279-9ada29599ecb · outbound

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A foundation model for atomistic materials chemistry Protons and Hydroxide Ions in Aqueous Systems

Reference 34

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Source-reported events for the cited work

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Observation 5240f751-21a7-4d6a-8327-a47c659bd945 · outbound

This paper cites DMC-ICE13: Ambientandhighpressurepolymorphs of ice from diffusion Monte Carlo and density functional theory.

A foundation model for atomistic materials chemistry DMC-ICE13: Ambientandhighpressurepolymorphs of ice from diffusion Monte Carlo and density functional theory

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:ce7a808202b5e9f6f712ed80c2d6e69f12f09ad05161fd80cb79ccececcc2ba6

Observation 06f5e183-8029-4d33-8f20-b2659c5008e7 · outbound

This paper cites Square ice in graphene nanocapillaries.

A foundation model for atomistic materials chemistry Square ice in graphene nanocapillaries

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.505090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:1a1650887425410f02109d64487c42aa4d342a45cba2b1d487fc009cfdb1ef47

Observation ea987a56-95d7-4fa0-9a05-fe5735ccce6b · outbound

This paper cites Anomalously low dielectric constant of confined water.

A foundation model for atomistic materials chemistry Anomalously low dielectric constant of confined water

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.507479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:2ea34589864e58c2a19acba1d871486139797a08f68f1e2e40b392f298b4eb9f

Observation 8656a2fe-c5f9-40bb-8eb6-900915a2c237 · outbound

This paper cites The first-principles phase diagram of monolayer nanoconfined water.

A foundation model for atomistic materials chemistry The first-principles phase diagram of monolayer nanoconfined water

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.509781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:8d8140a480c3d4548603fe19516ed65882c1b4576d36933ffaec2888a76077dc

Observation 2c858352-5f7e-4db3-a669-a7fca564829a · outbound

This paper cites Surface pourbaix diagrams and oxygen reduction activity of Pt, Ag and Ni(111) surfaces studied by DFT.

A foundation model for atomistic materials chemistry Surface pourbaix diagrams and oxygen reduction activity of Pt, Ag and Ni(111) surfaces studied by DFT

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.512145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:9dbec57653b26468478ab16760a595cd985e14f032adcd84e9ce449e4df88182

Observation 5323b040-f7b3-4971-8b4b-6d0c11e7c9e2 · outbound

This paper cites Limits to scaling relations between adsorption energies?.

A foundation model for atomistic materials chemistry Limits to scaling relations between adsorption energies?

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.514623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:7217275419a2bf64a934d2b2b4ad5fd1cc17a226942f00e0129f1cf8eb0f98f4

Observation 6647899a-26e2-492a-8b5f-05cc9ec1e8d2 · outbound

This paper cites Accurate energy barriers for catalytic reac- tion pathways: an automatic training protocol for machine learning force fields.

A foundation model for atomistic materials chemistry Accurate energy barriers for catalytic reac- tion pathways: an automatic training protocol for machine learning force fields

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.517668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:7ecdc28b5ce64657e701e9ce5067bf61c71062b33daa37632069c138ba323c1a

Observation 546d48f1-a7e2-4dfd-a89c-befed93ce9c9 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

A foundation model for atomistic materials chemistry UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-18T10:16:16.433624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:4643c547c9889dc925c0fe1cf363fbe379eb6d01ec7c50911e260fd875ccaf85

Observation ccf7a4f2-d4b6-4bd7-845d-23052003738e · outbound

This paper cites MACE-MP UMAP analysis.

A foundation model for atomistic materials chemistry MACE-MP UMAP analysis

Reference 43

Resolution
verified exact
doi, observed 2026-05-18T10:16:16.405924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:6c7088c84931109e0a38ca395586fe4c2f8e56ca17d43afde1fe2ae763a8d058

Observation 5984a114-7beb-410c-80da-5d15ce5bab41 · outbound

This paper cites Towards the computational design of solid catalysts.

A foundation model for atomistic materials chemistry Towards the computational design of solid catalysts

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.519846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:1ac00692e3d3b2829131e52ba794a603b526453c3074582ee7ee6fedb416d25f

Observation 05d4515d-4184-4688-a85c-39d5e225947c · outbound

This paper cites From the sabatier principle to a predictive theory of transition-metal heterogeneous catalysis.

A foundation model for atomistic materials chemistry From the sabatier principle to a predictive theory of transition-metal heterogeneous catalysis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.522327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:dd5ddc0cb7df8ed1ee4e7b99ade1e8b18b6e7ec9d62a6bc315aa6d39478bd00b

Observation b864d8d1-c9e6-4821-ae4e-4ad08c37ffba · outbound

This paper cites First-principles-based multiscale modelling of heterogeneous catalysis.

A foundation model for atomistic materials chemistry First-principles-based multiscale modelling of heterogeneous catalysis

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.524826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:a6bb08af7238df8442c5c07dd87ada02f8558178779a7381764d2379981b8d16

Observation 6b6becd3-ee9d-45e3-ac1d-8d8118e6f477 · outbound

This paper cites Cation-coordinated inner-sphere co<sub>2</sub>electroreduction at au–water interfaces.

A foundation model for atomistic materials chemistry Cation-coordinated inner-sphere co<sub>2</sub>electroreduction at au–water interfaces

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.527167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:3e9dc9b218c02f989ff16cd80dbc7a88485cbb79971a5d1c5a1e3914370bc3f8

Observation 489d5139-dd79-4413-8d5a-ab2dd83bdf14 · outbound

This paper cites Universality in oxygen evolution electrocatalysis on oxide surfaces.

A foundation model for atomistic materials chemistry Universality in oxygen evolution electrocatalysis on oxide surfaces

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.529559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:49371e84a608483da98df2ab4226c6e62f96d1116a31a5e30f0e9cf1d9cfa12b

Observation 6828ba00-cde8-4f43-b3d5-ed018525108c · outbound

This paper cites Self-activation of copper electrodes during co electro-oxidation in alkaline electrolyte.

A foundation model for atomistic materials chemistry Self-activation of copper electrodes during co electro-oxidation in alkaline electrolyte

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.532096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:6a089c5b40c186dee557e24d156f9ea72b89459995136a6107ed5aee46bbe0b4

Observation 0c669e2d-5928-4bfc-af44-1610820b37f8 · outbound

This paper cites Ternary ruthenium complex hydrides for ammonia synthesis via the associative mechanism.

A foundation model for atomistic materials chemistry Ternary ruthenium complex hydrides for ammonia synthesis via the associative mechanism

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.534599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:ebd852369e0fd5d9634ccfc95734d93f7b85760f3e4921b6c0d001dbe947ec88

Observation 9b1e8151-27b6-401c-a2bb-ab3103a2780c · outbound

This paper cites an unresolved cited work.

A foundation model for atomistic materials chemistry Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-05-18T10:16:16.536833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:2fa52f703cbe7a3a2c98307ecb28d1c4f020adb7025b9412099f63bfba5193db

Observation a79bda9c-ef97-4a52-ac01-fe0cde949b30 · outbound

This paper cites Exploringcatalyticreactionnetworkswithmachine learning.

A foundation model for atomistic materials chemistry Exploringcatalyticreactionnetworkswithmachine learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.539345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:415d64f6a5b7165607fa29efbc77e3cfe14edda068db269a12e0ffcbde08c20b

Observation e78f0ff9-db73-4626-8c5f-99c1a9c2bde6 · outbound

This paper cites Neural network potentials for accelerated meta- dynamics of oxygen reduction kinetics at au–water interfaces.

A foundation model for atomistic materials chemistry Neural network potentials for accelerated meta- dynamics of oxygen reduction kinetics at au–water interfaces

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.541629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:e1c69e261791fadbd63547e23a0e1d0acf70ea4e4a403a623abef49798bfd870

Observation 9c573f78-c81a-4304-b7c9-2254eec4055f · outbound

This paper cites Active learning across intermetallics to guide discovery of electrocatalysts for co2 reduction and h2 evolution.

A foundation model for atomistic materials chemistry Active learning across intermetallics to guide discovery of electrocatalysts for co2 reduction and h2 evolution

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.543860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:7371110208440bd586cd0d7e64d37b39307a775a89cabb348c20bd81388bf77b

Observation 7ee190f1-f86a-46d2-a445-4183dcece674 · outbound

This paper cites Learning design rules for selective oxidation catalysts from high-throughput experimentation and artificial intelligence.

A foundation model for atomistic materials chemistry Learning design rules for selective oxidation catalysts from high-throughput experimentation and artificial intelligence

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.546011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:3392e69e3181ed20f95559c16e9f3ec7be2ed4ccc1d2f0c798eabf990b57ab79

Observation 6f0e52b1-d97e-4f56-b1ab-819b5b85b94e · outbound

This paper cites A data-driven high-throughput workflow applied to promoted in-oxide catalysts for co2 hydrogenation to methanol.

A foundation model for atomistic materials chemistry A data-driven high-throughput workflow applied to promoted in-oxide catalysts for co2 hydrogenation to methanol

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.548522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:34c9fd32f911692f495f6c8156035c1715f795f5a43805bf557caf45d7e04405

Observation cd3a0a95-28a8-436f-911b-b8a35c5e1218 · outbound

This paper cites Estimating free energy barriers for heterogeneous catalytic reactions with machine learning potentials and umbrella integration.

A foundation model for atomistic materials chemistry Estimating free energy barriers for heterogeneous catalytic reactions with machine learning potentials and umbrella integration

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.551027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:69cd6539f7931aeb22d4e401567e9eeff4002bfb98da57722224879c74fdd1db

Observation c7a21f61-7898-4acc-b5d3-75fc0541a367 · outbound

This paper cites The open catalyst 2022 (oc22) dataset and challenges for oxide electrocatalysts.

A foundation model for atomistic materials chemistry The open catalyst 2022 (oc22) dataset and challenges for oxide electrocatalysts

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.553304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:b0d3232d082899f165602f0ef881e89ed3a3aa743ad252d29f66b317935082fc

Observation 482628e6-b3bb-4173-ac23-9b39ffcce0df · outbound

This paper cites Pourbaix, ATLAS of Electrochemical Equilibria in Aqueous Solutions.

A foundation model for atomistic materials chemistry Pourbaix, ATLAS of Electrochemical Equilibria in Aqueous Solutions

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.555688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:4d8df1839451b7c6eae1269fdf51b05324b10845914a8bfd3ccea3216de8cc36

Observation b512c272-89f5-4398-b5aa-8f087a19d90d · outbound

This paper cites Pourbaix,Lectures on Electrochemical Corrosion.

A foundation model for atomistic materials chemistry Pourbaix,Lectures on Electrochemical Corrosion

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.558148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:4e761d91962411ffa77d9478eb53bcd64e8d650a8f7a2a4439bf991a4a149eef

Observation d94837eb-5166-4f42-9a64-6e8511f72b3b · outbound

This paper cites Origin of the overpotential for oxygen reduction at a fuel-cell cathode.

A foundation model for atomistic materials chemistry Origin of the overpotential for oxygen reduction at a fuel-cell cathode

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.560868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:bbef241e0684c0a3d781fe9344d86be571214388c65220ed43cd3a1898994663

Observation bf646471-5678-4cda-a499-45d9b44a89e3 · outbound

This paper cites Prediction of solid-aqueous equilibria: Scheme to combine first-principles calculations of solids with experimental aqueous states.

A foundation model for atomistic materials chemistry Prediction of solid-aqueous equilibria: Scheme to combine first-principles calculations of solids with experimental aqueous states

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.563518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:b45125d80f403ae772ff4ee7dfba1d75efc8612ac94dc09a4f53390052b9cd1f

Observation c251bf28-f3b1-485e-88e3-8800f28e97cd · outbound

This paper cites Electrochemical stability of metastable materials.

A foundation model for atomistic materials chemistry Electrochemical stability of metastable materials

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.565977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:155b95ef02d4c5c08e84d66a620d87090baf6d5e3c01bf44905fe859bade0139

Observation 383a2d6c-2cae-4374-9f41-3ef3365748e1 · outbound

This paper cites Scaling properties of adsorption energies for hydrogen-containing molecules on transition-metal surfaces.

A foundation model for atomistic materials chemistry Scaling properties of adsorption energies for hydrogen-containing molecules on transition-metal surfaces

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.568710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:3c5ed55b0e12e7ec6ec057920d2ec7a520bb922286d69455b12ac5a05d71e188

Observation c2245660-789e-4e0c-b53f-9759edafe802 · outbound

This paper cites Strategies to break linear scaling relationships.

A foundation model for atomistic materials chemistry Strategies to break linear scaling relationships

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.571153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:faea9e3d42fee8af349e436b3ee3b6e5115fb19825d03bc8d6a4f3e4b98094f0

Observation 5c8fc0d1-1268-4f22-86d7-39145d270d73 · outbound

This paper cites Statistical learning goes beyond the d-band model providing the thermochemistry of adsorbates on transition metals.

A foundation model for atomistic materials chemistry Statistical learning goes beyond the d-band model providing the thermochemistry of adsorbates on transition metals

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.573343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:364d99ba179fcccac8343c0777382deab1a1c50a4c3b6f6f846d4cea8d759679

Observation 589fe62f-e737-4e8e-9ce9-584ae5491ec5 · outbound

This paper cites Electrochemical oxidation of co on cu single crystals under alkaline conditions.

A foundation model for atomistic materials chemistry Electrochemical oxidation of co on cu single crystals under alkaline conditions

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.575829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:c7354286106751677fa5b59cb19b9a64a5d95b6910a397c21c091452a8229ffc

Observation f11de8fa-5dab-4caa-b2c3-dffa3304b482 · outbound

This paper cites Rationally designed indium oxide catalysts for CO2 hydrogenation to methanol with high activity and selectivity.

A foundation model for atomistic materials chemistry Rationally designed indium oxide catalysts for CO2 hydrogenation to methanol with high activity and selectivity

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.577939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:8e8bd4e31a563db4f282d89bcd83a2f0a577c777e8e59c4f673981ea73bc5a95

Observation 3d1cdfd2-b9f3-4216-b7e9-6f977efdcad2 · outbound

This paper cites Machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery.

A foundation model for atomistic materials chemistry Machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.580280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:fbe42e570f9ec8b428abf83188488a94be4699557e3e4459e0ebe11b6373bd1e

Observation c52b0b82-31a0-44d5-9f73-8c12361c5af2 · outbound

This paper cites High-throughputpredictionsofmetal–organicframeworkelectronicproper- ties: theoretical challenges, graph neural networks, and data exploration.

A foundation model for atomistic materials chemistry High-throughputpredictionsofmetal–organicframeworkelectronicproper- ties: theoretical challenges, graph neural networks, and data exploration

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.582412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:1abaef71ac57eb5b875d8f97b2e717217d545381f39c0d1c00d092a0a52f71b5

Observation d21aabb9-d1c5-4fad-a23b-2e76505a5695 · outbound

This paper cites DeePMD-kit v2: A software package for deep potential models.

A foundation model for atomistic materials chemistry DeePMD-kit v2: A software package for deep potential models

Reference 71

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation c13f7873-794e-4c82-adf9-b0f41d80f470 · outbound

This paper cites Uff, a full periodic table force field for molecular mechanics and molecular dynamics simulations.

A foundation model for atomistic materials chemistry Uff, a full periodic table force field for molecular mechanics and molecular dynamics simulations

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.586959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation d38eb557-0436-4340-a413-06b87cc620c8 · outbound

This paper cites Introducing ddec6 atomic population analysis: part 1. charge partitioning theory and methodology.

A foundation model for atomistic materials chemistry Introducing ddec6 atomic population analysis: part 1. charge partitioning theory and methodology

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.589362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:08d15aa44654572e5d08f8f1035883e98aee236ecdde416378db73fa771f0cf4

Observation 142ba8ef-2f85-4e27-bc6f-006b325dd162 · outbound

This paper cites Vapor–liquid equilibria of mixtures containing alkanes, carbon dioxide, and nitrogen.

A foundation model for atomistic materials chemistry Vapor–liquid equilibria of mixtures containing alkanes, carbon dioxide, and nitrogen

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.591861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:8221bbd0c10ec2750dda1db59e218394b49a070285194ff694a9ea7d34fb3ef3

Observation 7dc033ec-0e26-49ed-b209-44e9f29bd875 · outbound

This paper cites an unresolved cited work.

A foundation model for atomistic materials chemistry Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-05-18T10:16:16.593908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:800e99b7372ce5650b531b40155976039d5ff0d3e8bd47fd046bc1f23a3c4d93

Observation eb6f8e0d-e3f9-4bd6-8c63-ebc4301469ab · outbound

This paper cites Highly efficient separation of carbon dioxide by a metal-organic framework replete with open metal sites.

A foundation model for atomistic materials chemistry Highly efficient separation of carbon dioxide by a metal-organic framework replete with open metal sites

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.596385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:b692dcd40e6dc250564489e3c67878937f8e8ffb8b0e03ff473d6780c6706b5e

Observation 6082b9d6-f7de-4e4f-865d-03fd70cb96e6 · outbound

This paper cites Comprehensive study of carbon dioxide adsorption in the metal– organic frameworks M 2 (dobdc)(M= Mg, Mn, Fe, Co, Ni, Cu, Zn).

A foundation model for atomistic materials chemistry Comprehensive study of carbon dioxide adsorption in the metal– organic frameworks M 2 (dobdc)(M= Mg, Mn, Fe, Co, Ni, Cu, Zn)

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.599116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:3848cfabeceee4e1ba2ca59485b89de60ba01491385259d101229b657a959fe4

Observation e28976d2-c9b4-4de0-8851-018babbd8494 · outbound

This paper cites Mof-74 type variants for co 2 capture.

A foundation model for atomistic materials chemistry Mof-74 type variants for co 2 capture

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.601206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:a9e91a707c2a2966bde3d263ec4a2293cd11e24c8704e111112d743166271a41

Observation 512287dd-bfae-42c0-92b4-77779b4cfb9a · outbound

This paper cites Coordinatively unsaturated metal sites (open metal sites) in metal–organic frameworks: design and applications.

A foundation model for atomistic materials chemistry Coordinatively unsaturated metal sites (open metal sites) in metal–organic frameworks: design and applications

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.603594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:5ce7c49489c477caaebabe8cf690ba00c4b9af25cd6867185aff4d25755d8b84

Observation f258bd6e-13da-41cd-b839-0fa08bcf1ac7 · outbound

This paper cites Quantum informed machine-learning potentials for molecular dynamics simulations of CO2’s chemisorption and diffusion in Mg-MOF-74.

A foundation model for atomistic materials chemistry Quantum informed machine-learning potentials for molecular dynamics simulations of CO2’s chemisorption and diffusion in Mg-MOF-74

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.606002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:b708c23b256277cb9e54ab59d21be76b4f252ea32057e2adc9020fc26bc42568

Observation 86c4c659-cf5d-4ed4-8308-b80c92fa7785 · outbound

This paper cites Computational and experimental studies on the adsorption of CO, N2, and CO2 on Mg-MOF-74.

A foundation model for atomistic materials chemistry Computational and experimental studies on the adsorption of CO, N2, and CO2 on Mg-MOF-74

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.608362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:ac52f7b690793089e7b8b4cdc4d55d8bdcb80b479371072f4923080a0a8c8e05

Observation a0ed8121-2431-4cd9-bbe6-0356c3bc199f · outbound

This paper cites In silico design and screening of hypothetical mof-74 analogs and their experimental synthesis.

A foundation model for atomistic materials chemistry In silico design and screening of hypothetical mof-74 analogs and their experimental synthesis

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.610635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:c84efa2d968229e927363bfb2c5efa3d441ef533d4754caee72d148cd7643328

Observation 6d212db1-c758-4ceb-97d6-939c0cf0aeb9 · outbound

This paper cites Liquid, glass and amorphous solid states of coordination polymers and metal–organic frameworks.

A foundation model for atomistic materials chemistry Liquid, glass and amorphous solid states of coordination polymers and metal–organic frameworks

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.612962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:4d999eb0e3134e87d8e94847c87f20335ec62d671f202343757d6d34d6688138

Observation 9e533648-1b26-473d-acb9-c3d52c0b1030 · outbound

This paper cites Atomistic Models of Amorphous Metal–Organic Frameworks.

A foundation model for atomistic materials chemistry Atomistic Models of Amorphous Metal–Organic Frameworks

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.615187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:37b5c287c4700d62df68247b5913dce8fd43f77a82f70ac88498a0acb16d3a70

Observation de8e4fde-eb07-4655-b462-bd66357dab47 · outbound

This paper cites Four-dimensional metal-organic frame- works.

A foundation model for atomistic materials chemistry Four-dimensional metal-organic frame- works

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.617402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:56e76b06accbff284ae8d79bd69acb749bee4643b376bd2cd66492207d48ea52

Observation 15a00373-1f63-4577-a954-b834b9f2abec · outbound

This paper cites Near-perfect CO2/CH4selectivity achieved through reversible guest templating in the flexible metal–organic framework co (bdp).

A foundation model for atomistic materials chemistry Near-perfect CO2/CH4selectivity achieved through reversible guest templating in the flexible metal–organic framework co (bdp)

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.619531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:8ecfef4d9a24fa16b8832d00fa76c5bae0666f1fe85bb9d669667773b2005371

Observation 1a30793c-2b40-48a6-8aaa-8ede20e43426 · outbound

This paper cites Towards modeling spatiotem- poral processes in metal–organic frameworks.

A foundation model for atomistic materials chemistry Towards modeling spatiotem- poral processes in metal–organic frameworks

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.622060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:a70ca7ac6082c9d5ab594a92ad92ea6cbe65e846cfb8d8ebc45e86a981c48e5e

Observation 9804f980-72f1-457c-96c0-5b72f3142147 · outbound

This paper cites S66: A well-balanced database of benchmark interaction energies relevant to biomolecular structures.

A foundation model for atomistic materials chemistry S66: A well-balanced database of benchmark interaction energies relevant to biomolecular structures

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.624169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:3b12d43a151b3a2475c7d8a7e255fc3804ef2c2398ae4b05194dd9ce1da908b4

Observation f8a5dfa7-f63c-4fe0-8f08-29de778c333e · outbound

This paper cites Understanding the role of vibrations, exact exchange, and many-body van der Waals interactions in the cohesive properties of molecular crystals.

A foundation model for atomistic materials chemistry Understanding the role of vibrations, exact exchange, and many-body van der Waals interactions in the cohesive properties of molecular crystals

Reference 89

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:454f3e9d1cb3592bf903b70192e68ec31908b5ccd1cf643bfab75d5dcf67870d

Observation 37a3bbe5-faee-4251-885a-7986f6c266d6 · outbound

This paper cites Semiempirical hybrid functional with improved performance in an exten- sive chemical assessment.

A foundation model for atomistic materials chemistry Semiempirical hybrid functional with improved performance in an exten- sive chemical assessment

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.628991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:b6209f291710868e381ac2d9636d4bac6c119ddebde3156e0c2c58a62eb8e7ae

Observation f071eb28-7eef-49ed-8d15-3e1c8ca00c9b · outbound

This paper cites Catastrophic interference in connectionist networks: The sequential learning problem.

A foundation model for atomistic materials chemistry Catastrophic interference in connectionist networks: The sequential learning problem

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.631338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:c976ff586ba6003f599f43e76bc59c51f56dad81bcf24ae21d04cfde897e685f

Observation 748e8c77-0786-4425-8816-8c1835d3de0d · outbound

This paper cites Graph networks as a universal machine learning framework for molecules and crystals.

A foundation model for atomistic materials chemistry Graph networks as a universal machine learning framework for molecules and crystals

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.633447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:c17ee90756626955ecc7b985c38b1d1e3502dbbc80c0a92a3a7364bb2d9049a8

Observation e933b78c-2b12-4e06-9660-cf720d02559a · outbound

This paper cites Commentary: The materials project: A materials genome approach to accelerating materials innovation.

A foundation model for atomistic materials chemistry Commentary: The materials project: A materials genome approach to accelerating materials innovation

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.635837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:8662371775def34f1fbb0489adf5a6b825a90a119dd468484d4d0bc55f062027

Observation e8d4cbaa-3f31-45c4-85ee-e60339f10017 · outbound

This paper cites A universal graph deep learning interatomic potential for the periodic table.

A foundation model for atomistic materials chemistry A universal graph deep learning interatomic potential for the periodic table

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.637977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:da2dfd34bff2d7886d0997cb519df4b3f07bed3df83d2d81f26c69c953703f10

Observation b64841a4-524a-4ad2-9bad-940e3ff42e2b · outbound

This paper cites CHGNet as a pre- trained universal neural network potential for charge-informed atomistic modeling.

A foundation model for atomistic materials chemistry CHGNet as a pre- trained universal neural network potential for charge-informed atomistic modeling

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.640477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:4cd2800dd807d1221efb69d1292b8a651afb4be901d366a1112572aa1e8eb3dd

Observation f40fd4c2-6336-4bb8-8e00-7e4d4290b9bc · outbound

This paper cites Unified graph neural network force-field for the periodic table: solid state applications.

A foundation model for atomistic materials chemistry Unified graph neural network force-field for the periodic table: solid state applications

Reference 96

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verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.642655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:52723eb3e977dfdb4a69fbcaa5cdcda3312451e314f65b003f636101d031f5cc

Observation 8a25ddf3-395f-4b6c-8ce0-89514ac24df8 · outbound

This paper cites The joint automated repository for various integrated simulations (jarvis) for data-driven materials design.

A foundation model for atomistic materials chemistry The joint automated repository for various integrated simulations (jarvis) for data-driven materials design

Reference 97

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raw_fallback, observed 2026-05-18T10:16:16.645167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:ad041c1f04e270d3e33ca22ad54b505997eb4a5d442dda13a4f45bff9bdd75bd

Observation 063a57f3-3feb-4939-9893-d8803718bf65 · outbound

This paper cites Chemical accuracy for the van der waals density func- tional.

A foundation model for atomistic materials chemistry Chemical accuracy for the van der waals density func- tional

Reference 98

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raw_fallback, observed 2026-05-18T10:16:16.647484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:8b982808cb5a1355bfc4495442da4bb1c41695ce32104db436b8346ceb81805f

Observation 87392769-f479-4617-887c-45c1da51bbbe · outbound

This paper cites Scaling deep learning for materials discovery.

A foundation model for atomistic materials chemistry Scaling deep learning for materials discovery

Reference 99

Resolution
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raw_fallback, observed 2026-05-18T10:16:16.650079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:beda93dacd14e90b3b14c89eea98392df0386b1591aa6864101c95f7f6f026a1

Observation 80d01e44-c553-4e56-b258-b03130c15a82 · outbound

This paper cites Dpa-1: Pretraining of attention-based deep potential model for molecular simulation.

A foundation model for atomistic materials chemistry Dpa-1: Pretraining of attention-based deep potential model for molecular simulation

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:16:16.652331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:16:16.287215Z digest=sha256:99bd6654d1d7ec42b443335f179ee381cf128b3635b157d30d6a7535ee2942e7

Pith citing papers

Observation 4866b03c-82e1-4f54-b382-9e1f1d5eead0 · inbound

MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures cites this paper.

MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures A foundation model for atomistic materials chemistry

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 016cd590-8488-4608-85fb-029dc6e7f753 · inbound

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Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models A foundation model for atomistic materials chemistry

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T23:42:26.178194Z digest=sha256:cd40db378fec33092686931489a719610e7e67f0764c7baebb27abe9d2ff7534

Observation 9626b3da-65f2-4996-b7d7-b3af9b94f709 · inbound

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Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models A foundation model for atomistic materials chemistry

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:58:19.965226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-23T18:57:51.410210Z digest=sha256:e10f96f31a1d2321ea687ec258b5a49341688855af251ff10313c1362b00bee9

Observation 954d695c-4998-49f7-94c9-b87afb52a296 · inbound

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Siamese Foundation Models for Crystal Structure Prediction A foundation model for atomistic materials chemistry

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:15:15.065099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-23T00:12:30.772142Z digest=sha256:11f7898437c67d1c00a5ec3632e3792675a16a6cd4018a1253667d44b8c5c1b3

Observation ce28824b-5d48-43af-a481-53b7533ccc96 · inbound

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Machine Learning Phonon Spectra for Fast and Accurate Optical Lineshapes of Defects A foundation model for atomistic materials chemistry

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-18T22:41:52.857234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:41:46.289356Z digest=sha256:4a05e3a51b888c936df629041ede664503aa6468b52eea9c9f21a7a36ce1b5b3

Observation 8abe01fc-391d-4e0b-8780-ebff26e70202 · inbound

Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing cites this paper.

Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing A foundation model for atomistic materials chemistry

Reference 2

Resolution
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arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T10:01:16.498310Z digest=sha256:af0283b445c4352d293d15e75d2563107f38328b7c297a5aa8d2db88e38e7939

Observation 061babfd-5084-4ca4-a2e4-d99620ccffca · inbound

Comparing fine-tuning strategies of MACE machine learning force field for modeling Li-ion diffusion in LiF for batteries cites this paper.

Comparing fine-tuning strategies of MACE machine learning force field for modeling Li-ion diffusion in LiF for batteries A foundation model for atomistic materials chemistry

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T09:20:32.203345Z digest=sha256:c281355f9b3a77e1fd7b896004e740b8e6f38a28949c97fd46db73f423886572

Observation 50d6929c-bd4d-453f-8f93-7aad2bf076a6 · inbound

Stability and Dynamics of Sn-based Halide Perovskites: Insights from MACE-MP-0 and Molecular Dynamics Simulations cites this paper.

Stability and Dynamics of Sn-based Halide Perovskites: Insights from MACE-MP-0 and Molecular Dynamics Simulations A foundation model for atomistic materials chemistry

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-21T20:34:20.884396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-21T20:32:19.337829Z digest=sha256:f5ac00559fe97fb090906181ec37962d4e6f5cbd36bfdd13504bde7ebb9a951c

Observation 530f51d0-2ddc-4a34-bb7b-9458df66016c · inbound

Role of Wadsley Defects and Cation Disorder to Enhance MoNb12O33 Diffusion cites this paper.

Role of Wadsley Defects and Cation Disorder to Enhance MoNb12O33 Diffusion A foundation model for atomistic materials chemistry

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T22:41:14.168187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:41:14.168187Z digest=sha256:c233377a1b4ca44ebc364844946987f31c6a64edef241813d6da8f3f9df2103c

Observation c050c1ff-1ee8-4d7c-acbc-8dc6e8acef68 · inbound

Discovery and recovery of crystalline materials with property-conditioned transformers cites this paper.

Discovery and recovery of crystalline materials with property-conditioned transformers A foundation model for atomistic materials chemistry

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-03T20:04:40.581044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:04:40.581044Z digest=sha256:ece663c7535633be4dbb60f9f98211c44f475095e64193830f3a061891fd4c24

Observation 9ec98f88-23d6-4749-8e32-878fe9fce666 · inbound

LitMOF: An LLM Multi-Agent for Literature-Validated Metal-Organic Frameworks Database Correction and Expansion cites this paper.

LitMOF: An LLM Multi-Agent for Literature-Validated Metal-Organic Frameworks Database Correction and Expansion A foundation model for atomistic materials chemistry

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-17T02:54:00.695905Z digest=sha256:c874ad21289340209a39c10d6d69ab03bd9feb689f90653a178b7b403a8bd5a1

Observation 04e56bcb-a85d-4a68-a315-2903aa6dd604 · inbound

LitMOF: An LLM Multi-Agent for Literature-Validated Metal-Organic Frameworks Database Correction and Expansion cites this paper.

LitMOF: An LLM Multi-Agent for Literature-Validated Metal-Organic Frameworks Database Correction and Expansion A foundation model for atomistic materials chemistry

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T19:10:42.432140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:10:42.432140Z digest=sha256:cfb20ba03af4774f8262e821f69ed4f0b087f6ede8a3ea112493a0c957c2f9fd

Observation e89abedd-973f-4449-9ea3-a1dc0b60c0a7 · inbound

Novel fast Li-ion conductors for solid-state electrolytes from first-principles cites this paper.

Novel fast Li-ion conductors for solid-state electrolytes from first-principles A foundation model for atomistic materials chemistry

Reference 1999

Resolution
unresolved
no resolver link, observed 2026-08-03T12:25:43.978997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:25:43.978997Z digest=sha256:eae3f0c0aaedc6ef1104deda68d92f31865585e229bfa8f80e5301d269c7de0d

Observation 55cbcdb6-9aa5-47e4-b666-e23974484bb4 · inbound

Data-Driven Exploration and Insights into Temperature-Dependent Phonons in Inorganic Materials cites this paper.

Data-Driven Exploration and Insights into Temperature-Dependent Phonons in Inorganic Materials A foundation model for atomistic materials chemistry

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T10:45:19.282901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.282901Z digest=sha256:7a58351c2c127df5b9547d959a6cc9084c34046474ebab4d6b6acad95fcafca9

Observation 04ee55ef-fd51-4050-97d8-7e186f01ff6f · inbound

Pushing the limits of unconstrained machine-learned interatomic potentials cites this paper.

Pushing the limits of unconstrained machine-learned interatomic potentials A foundation model for atomistic materials chemistry

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T08:46:39.662781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:46:39.662781Z digest=sha256:71c15347cf43f4cee4354d575000213c59808b364464bfe45c0bb90151905c3e

Observation c099b37a-68e1-4fa2-9c33-511419f5d7c4 · inbound

Computational discovery of cathode materials for rechargeable aqueous zinc-ion batteries cites this paper.

Computational discovery of cathode materials for rechargeable aqueous zinc-ion batteries A foundation model for atomistic materials chemistry

Reference 4553

Resolution
unresolved
no resolver link, observed 2026-08-03T01:17:41.265230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:17:41.265230Z digest=sha256:7f1e106faeed2184c4174cc5581fea52c88704fcc4c6ab24c12d6844ef8c0524

Observation ee9176ba-c11a-422a-99e2-d5ea94953e9c · inbound

Accurate and Efficient Interatomic Potentials for Dislocations in InP cites this paper.

Accurate and Efficient Interatomic Potentials for Dislocations in InP A foundation model for atomistic materials chemistry

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T00:21:38.957432Z digest=sha256:ab84b49ff1b3018d6a11609513446d3c36213b2e9a0bffb6b4cbb1a2f81ce6fc

Observation aedf4ba6-efac-460f-be45-922bff15b006 · inbound

Neutron and X-ray Diffraction Reveal the Limits of Long-Range Machine Learning Potentials for Medium-Range Order in Silica Glass cites this paper.

Neutron and X-ray Diffraction Reveal the Limits of Long-Range Machine Learning Potentials for Medium-Range Order in Silica Glass A foundation model for atomistic materials chemistry

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T22:01:57.746338Z digest=sha256:f6408e7cb86e824e1474e5e474381a04fdbf68cfc9157a205af1f3a03a9c9476

Observation 1d759406-b888-45bc-8c30-866f752b8233 · inbound

VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials cites this paper.

VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials A foundation model for atomistic materials chemistry

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-07T06:32:25.205347Z digest=sha256:70c510c1cbcd6f5852571b9371343eec30dc36e41a60bcf144c5dba1605463c7

Observation 8f4c0c7f-c042-47dd-8aba-57b708cb8503 · inbound

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry A foundation model for atomistic materials chemistry

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T17:38:30.092429Z digest=sha256:cb0881411f8ed8b6f6191387e184247c10b2247ebcf599ebb6ae3b6e96543b10

Observation b4038e33-92bb-4f33-ae64-cca6fe0bee0e · inbound

Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs cites this paper.

Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs A foundation model for atomistic materials chemistry

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-07T16:10:51.630034Z digest=sha256:61c360316574ba6954ee558f2fe6bb6ca262102769473bbcf4aca5e076c427f1

Observation db1184d3-dcd4-47a1-92f4-fd459b5a3388 · inbound

Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs cites this paper.

Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs A foundation model for atomistic materials chemistry

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-19T16:47:40.278865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-19T16:45:46.810947Z digest=sha256:72cd3eb2f8b48c92d037b8325a4b0a01c36c7022b7c9840139bf9fba365e866d

Observation 21607ce7-129d-4ad7-a5c4-f4dc9c092707 · inbound

MatterSim-MT: A multi-task foundation model for in silico materials characterization cites this paper.

MatterSim-MT: A multi-task foundation model for in silico materials characterization A foundation model for atomistic materials chemistry

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T03:10:13.171349Z digest=sha256:6c6045ffc100dc1a30bbacaba80bf6dd3a6fe1195aabdabde2ffca95a52985fd

Observation 4c42a35c-5697-403b-989e-3f32d6f24964 · inbound

MatterSim-MT: A multi-task foundation model for in silico materials characterization cites this paper.

MatterSim-MT: A multi-task foundation model for in silico materials characterization A foundation model for atomistic materials chemistry

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-01T13:35:46.329832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-30T23:05:47.726419Z digest=sha256:57322418c452619fbd9b7db1141448f903861e6c3b33f583bb6895531a2360c4

Observation 36e7aee8-7024-4ab0-b366-156a54e7d06d · inbound

Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning cites this paper.

Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning A foundation model for atomistic materials chemistry

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-12T01:43:08.443497Z digest=sha256:bf80e70d4abf31f80df8cf03a0fe3109a9e217782d32b9559198fffdb35f9ed6

Observation 4d4689d5-71fc-4e84-8da3-1b1a35a68fec · inbound

Systematic Fine-Tuning of MACE Interatomic Potentials for Catalysis cites this paper.

Systematic Fine-Tuning of MACE Interatomic Potentials for Catalysis A foundation model for atomistic materials chemistry

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-12T02:30:40.814893Z digest=sha256:8ebb38ea8240a11d411a5624304244b2addaf162ad5dc27cb551117c6022ca34

Observation b2dd9154-4111-4e75-b634-d1bcd0fb28be · inbound

Effective dynamic constants for nonequilibrium third-principles simulations cites this paper.

Effective dynamic constants for nonequilibrium third-principles simulations A foundation model for atomistic materials chemistry

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-12T05:28:52.154769Z digest=sha256:4c518ebe76d77924d50ed0e5eca1a02b852830bac4d58d4d5e114fc8739f92fe

Observation 921bfe9d-67c4-4012-818c-a5aeae05634a · inbound

Fast and Accurate Prediction of Lattice Thermal Conductivity via Machine Learning Surrogates cites this paper.

Fast and Accurate Prediction of Lattice Thermal Conductivity via Machine Learning Surrogates A foundation model for atomistic materials chemistry

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T01:41:43.141782Z digest=sha256:448afc32525e4acb303c9cbff689127f91a475af63f0c81ed0c8f2272d92d465

Observation 2a036c8b-e71c-435a-a1e8-2114f44752d1 · inbound

Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs cites this paper.

Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs A foundation model for atomistic materials chemistry

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-14T19:11:32.991952Z digest=sha256:ddf557a0bd028d9652f039071fea24534f3f0f71f984759465caa5f8c1efb14d

Observation 903105a7-0055-4eb4-a207-afd9c3d55966 · inbound

Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs cites this paper.

Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs A foundation model for atomistic materials chemistry

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-19T16:47:40.313449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-19T16:45:31.705747Z digest=sha256:57d7e0083c4ecc4ede774f2d26b4cad11e68c98df858d24b17744a9348b7a934

Observation a90bb32b-680e-438c-92d0-21f024cb45a1 · inbound

Lang2MLIP: End-to-End Language-to-Machine Learning Interatomic Potential Development with Autonomous Agentic Workflows cites this paper.

Lang2MLIP: End-to-End Language-to-Machine Learning Interatomic Potential Development with Autonomous Agentic Workflows A foundation model for atomistic materials chemistry

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T10:16:16.878114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T02:17:26.265221Z digest=sha256:86ccf4491452a77aeab4ef47ce65fa63146d92531bc3a76fca1d7ee8a5d06746

Observation 84af3f4f-039a-496e-bb26-93e1a3919915 · inbound

JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials cites this paper.

JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials A foundation model for atomistic materials chemistry

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T23:52:52.598965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-19T23:50:17.969096Z digest=sha256:cb785d7ccb325691f6c3af56bba31f48fc071c0474adbe801891988025b7d70d

Observation a2f0e597-3b9e-43ae-b303-554b8d6d647a · inbound

JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials cites this paper.

JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials A foundation model for atomistic materials chemistry

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T08:38:09.066584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-20T08:36:17.821556Z digest=sha256:ca89e494c4a2df85c22863ef8f9880b18883268a42bd04efd3627eca81656b8f

Observation 54a23a91-e3d6-4402-8ee9-06d759d5a3d2 · inbound

Machine Learning Interatomic Potentials: Advancing Open-Source Software for Efficient and Scalable Molecular Simulation cites this paper.

Machine Learning Interatomic Potentials: Advancing Open-Source Software for Efficient and Scalable Molecular Simulation A foundation model for atomistic materials chemistry

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-22T03:34:34.223557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-22T03:33:02.264346Z digest=sha256:a4614f00c421207e3af42e65880c549ecfea6766476a66eaa88c94492c01da5f

Observation b05ae2dc-1c10-4a28-9efe-d3dc45fda04c · inbound

Exploring Multi-Transition-Metal NASICON Frameworks as High-Performance Cathodes for Sodium-Ion Batteries cites this paper.

Exploring Multi-Transition-Metal NASICON Frameworks as High-Performance Cathodes for Sodium-Ion Batteries A foundation model for atomistic materials chemistry

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-06-29T23:34:03.839545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T23:30:46.828013Z digest=sha256:9adbf315ed72cb18e6fa751088dcf116c9353035c7efeb310581f2a2e5f9d272

Observation 3b054924-0f78-48eb-b7e8-e141ddbb5951 · inbound

Universal Stability of Ga Split Vacancies across \alpha-, \beta-, and \kappa-Ga2O3 Polymorphs: A Machine-Learning Accelerated Study cites this paper.

Universal Stability of Ga Split Vacancies across \alpha-, \beta-, and \kappa-Ga2O3 Polymorphs: A Machine-Learning Accelerated Study A foundation model for atomistic materials chemistry

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-06-29T11:03:18.767010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T10:55:39.375986Z digest=sha256:899d548cbf739bd4345b81235ef0339c0b9ba30ea80fbbecebf28dd200866b39

Observation 07431d98-e437-4ee4-bf6d-866d210a6175 · inbound

MLIPilot: LLM-Driven Auto-Research for Machine-Learned Interatomic Potentials cites this paper.

MLIPilot: LLM-Driven Auto-Research for Machine-Learned Interatomic Potentials A foundation model for atomistic materials chemistry

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-06-28T20:32:37.283132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T20:30:06.907278Z digest=sha256:f36be3ec74108e2503117a7e567fb86b94ea52d79f879e98109357e984ad1d98

Observation 66c0b3b1-bfa2-4e5b-a745-1aa704d204eb · inbound

DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution cites this paper.

DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution A foundation model for atomistic materials chemistry

Reference 246

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T01:26:24.170818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-06-28T12:04:41.497247Z digest=sha256:8da71288f995b929cdf0c4ffd951a89305289f88958c2a79263c410512df5469

Observation ab175de6-3693-4fd4-92be-033def3824b4 · inbound

SLUSCHI-UP: A Web Infrastructure for SLUSCHI Melting-Temperature Calculations Using Universal Machine-Learning Interatomic Potentials cites this paper.

SLUSCHI-UP: A Web Infrastructure for SLUSCHI Melting-Temperature Calculations Using Universal Machine-Learning Interatomic Potentials A foundation model for atomistic materials chemistry

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-02T10:06:52.128816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T05:16:26.340613Z digest=sha256:499d8a0c299570594631f0cba315de3cf01277884c0b24bd441043d7f23e9486

Observation 58dc38ab-2fdc-47f3-acd1-9f90f68076b7 · inbound

Fine-tuning MLIP foundation models: strategies for accuracy and transferability cites this paper.

Fine-tuning MLIP foundation models: strategies for accuracy and transferability A foundation model for atomistic materials chemistry

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-03T13:38:19.659753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-27T07:38:30.547968Z digest=sha256:27a027be8d5ae8bef5bdd8029041d7ac3602bb388106659f3bb7ab820d4d0e38

Observation a8a79287-8e24-4779-8aa6-fc0d7a3364b5 · inbound

Revisiting quantum effects on dislocation glide in bcc metals from DFT calculations and machine-learning potentials cites this paper.

Revisiting quantum effects on dislocation glide in bcc metals from DFT calculations and machine-learning potentials A foundation model for atomistic materials chemistry

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T22:08:59.322040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-06-26T23:45:03.135167Z digest=sha256:196c603f06a07af3f55d4a6ba9f56cd6af60cb58f110c5e55b5d06c9ae0cb65e

Observation 47248157-0afa-432c-8be0-1d17330e6cfc · inbound

Role of Local Structural Variation in X-ray Photoelectron Spectrum of Silicon Oxide Interfaces cites this paper.

Role of Local Structural Variation in X-ray Photoelectron Spectrum of Silicon Oxide Interfaces A foundation model for atomistic materials chemistry

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-04T01:19:21.247161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-26T20:28:26.229530Z digest=sha256:4b4de1177ab350f770d0dce0e3063b5168398792c76a0aba4858a7102322c7bd

Observation f7c1b45c-18ef-4899-b073-68d97dddd3d0 · inbound

Atomistic Language Models Understand and Generate Materials cites this paper.

Atomistic Language Models Understand and Generate Materials A foundation model for atomistic materials chemistry

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:09:36.567659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-26T14:54:28.608607Z digest=sha256:5a6d8fb19bf621751eecee8ccac346ae09ec283fa7c85397ad722e6e80cfbae6

Observation 316fba20-8617-40a5-920a-b817d717bf34 · inbound

Computational references are not experiments: pre-registered validation of machine-learned sodium-cathode voltages cites this paper.

Computational references are not experiments: pre-registered validation of machine-learned sodium-cathode voltages A foundation model for atomistic materials chemistry

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:59:38.098284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-26T13:57:44.290812Z digest=sha256:4f60c2408e811439094cbc92fb9b95062a0138887770ce52c35249de7bb68f2f

Observation 32665135-cf23-4fd2-8345-0931ba5346d4 · inbound

Computational references are not experiments: pre-registered validation of machine-learned sodium-cathode voltages cites this paper.

Computational references are not experiments: pre-registered validation of machine-learned sodium-cathode voltages A foundation model for atomistic materials chemistry

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-06-30T11:04:37.822825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-30T10:57:12.425357Z digest=sha256:4c17959132d6d78633be87bdcc380a9c31129ad02f356dd612ef2f1623dd6675

Observation a224b82b-d1dc-4d28-bcf4-0a4a182c154e · inbound

Constraint-Aware Quantum Optimization of Defect Configurations in Doped ZrO2: XY-Mixer QAOA and Grover Adaptive Search cites this paper.

Constraint-Aware Quantum Optimization of Defect Configurations in Doped ZrO2: XY-Mixer QAOA and Grover Adaptive Search A foundation model for atomistic materials chemistry

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-06-26T11:59:26.070861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:1d2dbaa552cd79d460f60ba4b098ba82d7e84a783ebefd8206c1a79a4bb346eb

Observation e511774b-0b4c-436c-aefd-ba0bb6364cae · inbound

Efficient Large-Scale STEM-EELS Simulations With Torched-TACAW cites this paper.

Efficient Large-Scale STEM-EELS Simulations With Torched-TACAW A foundation model for atomistic materials chemistry

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-03T09:37:49.012324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-03T09:30:15.593255Z digest=sha256:b034228119255e37426eb8d5988b5bb16eeb2495bb778d35c2db3320b24d21ad

Observation e9343244-f92b-46c2-86d0-00014647bd24 · inbound

Efficient Large-Scale STEM-EELS Simulations With Torched-TACAW cites this paper.

Efficient Large-Scale STEM-EELS Simulations With Torched-TACAW A foundation model for atomistic materials chemistry

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-12T08:18:45.067709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:18:45.067709Z digest=sha256:627200a51c5c064b03f0d90d01d3cd07b94caeffab5aba096396631b57dd6276

Observation 66a10fff-07a0-4c7b-9bbf-3a24b9f003bd · inbound

Data-driven atomistic modelling of hybrid halide perovskite passivation cites this paper.

Data-driven atomistic modelling of hybrid halide perovskite passivation A foundation model for atomistic materials chemistry

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-07T17:24:00.468454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-07-07T17:17:32.923959Z digest=sha256:3d899a22b41cf53c23d080baef0ec76a87240a99385a19a24dde60e679fdf4a4

Observation 27860c40-23f9-4e13-a205-149fbaac5bb4 · inbound

Benchmarking Universal Machine Learning Force Fields for Molecular Dynamics of Lunar Regolith Minerals cites this paper.

Benchmarking Universal Machine Learning Force Fields for Molecular Dynamics of Lunar Regolith Minerals A foundation model for atomistic materials chemistry

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-13T01:04:46.458302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:04:46.458302Z digest=sha256:2ba972f0ad322b6fad45bdcc08324b51f0ff958d0183a87518796bdaa07e9c32

Observation 62989d81-0054-4ee3-a67e-eb3da56a0fa2 · inbound

Self-organized defect clustering and concentration-dependent vacancy diffusion in MoS$_2$ cites this paper.

Self-organized defect clustering and concentration-dependent vacancy diffusion in MoS$_2$ A foundation model for atomistic materials chemistry

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T00:42:03.332324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:42:03.332324Z digest=sha256:3aaedeea937f799bc2e2f0e03872a9bc496f8d3161e280a85bb890ed21912495

Observation f6579649-4c9d-4bb9-b310-f7375603f60f · inbound

Ionic Diffusion Properties of Rare-Earth High-Entropy Oxides from a Machine-Learned Interatomic Potential cites this paper.

Ionic Diffusion Properties of Rare-Earth High-Entropy Oxides from a Machine-Learned Interatomic Potential A foundation model for atomistic materials chemistry

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T06:58:43.746484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:58:43.746484Z digest=sha256:38818f05157f3f356defed440ee04c0973d28aea9f7d9307f1c40bd604c55d82

Observation b35eab0e-8884-4f91-94a2-794b6c6dff5c · inbound

Thermodynamics-Informed Machine Learning for Energy Materials Discovery cites this paper.

Thermodynamics-Informed Machine Learning for Energy Materials Discovery A foundation model for atomistic materials chemistry

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:40.246971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:40.246971Z digest=sha256:9cb658f8e661aca07c0ba4bd5749e2ee5c601a2f82d4a6631e439a834715bf14

Observation 019b34a5-46d0-4c4d-9d0a-5b681fbeacb8 · inbound

Fast and Accurate Foundation Models for Equivariant Machine-Learned Interatomic Potentials cites this paper.

Fast and Accurate Foundation Models for Equivariant Machine-Learned Interatomic Potentials A foundation model for atomistic materials chemistry

Reference 78

Resolution
unresolved
no resolver link, observed 2026-07-31T06:41:45.510941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:41:45.510941Z digest=sha256:237c156e95eb106e6f09c78b8bd3274cac3b6b6c3c9362d7b6bbd737cf771da6