Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:56:54.357673Z
Paper Citation Record · LEDGER
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials
As of 23 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2506.15652.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
64 of 64 outbound references displayed
- verified exact1
- verified fuzzy44
- unresolved19
- parse uncertain0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d6a8b6b9-d02e-4727-855d-c4b1be2c9cd7 · outbound
This paper cites J.; Jain, J.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials J.; Jain, J
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:05.683888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 03c210ae-218c-4ae8-94f8-b5b7d9883821 · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 2
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c0f5125a-d717-4d67-a22a-45ea9e713242 · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d6d4ffab-7591-4555-90b8-259b8d2ae304 · outbound
This paper cites Phonon transport in disordered alloys: A Multiple-scattering approach.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Phonon transport in disordered alloys: A Multiple-scattering approach
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:05.649394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7497ce0f-0991-40ba-9280-1d9ee8383e7f · outbound
This paper cites Dynamic disorder phonon scattering mediated by Cu atomic hopping and diffusion in Cu3SbSe3.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Dynamic disorder phonon scattering mediated by Cu atomic hopping and diffusion in Cu3SbSe3
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:05.524570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1606e1f8-d5d7-4784-89a1-3a900843127c · outbound
This paper cites Thermal conductivity modeling on highly disordered crystalline Y _ 1-x Nb _x O _ 1.5+x : Beyond the phonon scenario.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Thermal conductivity modeling on highly disordered crystalline Y _ 1-x Nb _x O _ 1.5+x : Beyond the phonon scenario
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:05.336060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ec2e4fa1-732f-4f3a-9426-358d2181a0c1 · outbound
This paper cites Atomic Disorder Enables Superior Catalytic Surface of Pt-Based Catalysts for Alkaline Hydrogen Evolution.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Atomic Disorder Enables Superior Catalytic Surface of Pt-Based Catalysts for Alkaline Hydrogen Evolution
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:05.076237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 982a8f5a-376e-4eff-9163-2d3ace8cea17 · outbound
This paper cites A.; Morgen, P.; Chamier, J.; Ravnsbæk, D.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials A.; Morgen, P.; Chamier, J.; Ravnsbæk, D
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:04.879654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8b20a1b4-ea41-4281-909e-4c2d95cd61f9 · outbound
This paper cites J.; Pan, J.; Tamboli, A.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials J.; Pan, J.; Tamboli, A
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:04.664154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 11bb2abd-a884-479b-a4db-02041cf711e1 · outbound
This paper cites J.; Dove, M.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials J.; Dove, M
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:04.413606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dd3d2db1-0733-41b7-8b5d-a6df0235f33e · outbound
This paper cites M.; Yim, S.-Y.; Agarwal, R.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials M.; Yim, S.-Y.; Agarwal, R
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ea3d603-81f2-4088-8080-ee4fe1daaf3d · outbound
This paper cites Large scale hybrid Monte Carlo simulations for structure and property prediction.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Large scale hybrid Monte Carlo simulations for structure and property prediction
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:04.205334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 901c79db-09b8-429a-8e72-17150a37ec4a · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:57:03.972115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ee49ee43-8015-4d4b-8d11-777a40f11d0a · outbound
This paper cites C.; Torbr\"ugge, S.; Landau, D.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials C.; Torbr\"ugge, S.; Landau, D
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:03.705445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b47418a1-bafb-4721-aa71-aa351d53c664 · outbound
This paper cites Cluster expansion method for multicomponent systems based on optimal selection of structures for density-functional theory calculations.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Cluster expansion method for multicomponent systems based on optimal selection of structures for density-functional theory calculations
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:03.460123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9326ffad-ddd8-4893-9aae-d36e59414f4e · outbound
This paper cites Atomic cluster expansion for accurate and transferable interatomic potentials.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Atomic cluster expansion for accurate and transferable interatomic potentials
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:03.214626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e89c0923-d5f5-46b8-b644-df51132a8f40 · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:57:03.005692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b5ac7aa1-c6e6-41c2-86c9-44b53bffcb0d · outbound
This paper cites Constructing and Evaluating Machine-Learned Interatomic Potentials for Li-Based Disordered Rocksalts.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Constructing and Evaluating Machine-Learned Interatomic Potentials for Li-Based Disordered Rocksalts
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:02.782571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 393c4039-306e-466b-857e-155167b805b3 · outbound
This paper cites M.; Isayev, O.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials M.; Isayev, O
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:02.616716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 718bb0a1-72a2-4c73-aed6-df6dc9dbc94a · outbound
This paper cites S.; Armiento, R.; Alling, B.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials S.; Armiento, R.; Alling, B
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:02.370254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cec68eb2-d21d-4d4f-ad2f-c491751cd6bd · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:57:02.170616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 508bf5e5-e06a-4185-a2e1-40f6757aa640 · outbound
This paper cites Graph Attention Networks.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Graph Attention Networks
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:01.926166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ddcc6158-2824-4aef-a35c-badd3b0765c1 · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:57:01.700832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 26473fce-673d-489d-988b-f59066384dd2 · outbound
This paper cites Graph neural networks for materials science and chemistry.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Graph neural networks for materials science and chemistry
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:01.471432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 643c5999-a9b5-44c5-84ea-9e3374e9b181 · outbound
This paper cites Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:01.297566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 71a87ec1-4dc6-445c-aed6-aa66278e2946 · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:57:01.146064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d8010bbb-c159-47ef-b111-0bd00767e685 · outbound
This paper cites T.; Alatas, A.; Kong, J.; Li, M.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials T.; Alatas, A.; Kong, J.; Li, M
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:01.032469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0d339139-6d77-41d0-ba19-24f659f747bd · outbound
This paper cites T.; Okabe, R.; Chotrattanapituk, A.; Li, M.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials T.; Okabe, R.; Chotrattanapituk, A.; Li, M
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:00.890805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5ad4c416-a2df-485e-aac2-0fca1b094795 · outbound
This paper cites M.; Charpagne, M.-A.; Latypov, M.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials M.; Charpagne, M.-A.; Latypov, M
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:00.765253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 721a21e9-a8cb-4ac0-909d-aca56c00e290 · outbound
This paper cites Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:00.565110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a9f21f7c-7b54-4f94-88c0-0e6f935ac442 · outbound
This paper cites Towards accurate prediction of configurational disorder properties in materials using graph neural networks.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Towards accurate prediction of configurational disorder properties in materials using graph neural networks
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:00.382571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dbe9d56d-1950-4bed-808e-c39a89b004bf · outbound
This paper cites A.; Pereyra, C.; Soroush, M.; Rappe, A.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials A.; Pereyra, C.; Soroush, M.; Rappe, A
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:57:00.153053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 659f9f6e-7a7c-4d61-b2af-f78dd5a699ad · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:56:59.964970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2f53833f-53e0-4baf-98d4-60a1c3593c7d · outbound
This paper cites The world of two-dimensional carbides and nitrides (MXenes).
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials The world of two-dimensional carbides and nitrides (MXenes)
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:59.702594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 958cafbf-b9a9-4f43-9862-5627f298a5ed · outbound
This paper cites Chemical Origin of Termination-Functionalized MXenes: Ti3C2 T 2 as a Case Study.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Chemical Origin of Termination-Functionalized MXenes: Ti3C2 T 2 as a Case Study
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:59.468643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b8489f31-1941-499e-92a9-4e573cdc7fa3 · outbound
This paper cites Database of Tensorial Optical and Transport Properties of Materials From the Wannier Function Method.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Database of Tensorial Optical and Transport Properties of Materials From the Wannier Function Method
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:56:54.616366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2f463c48-88c7-49ac-a58d-90b163212649 · outbound
This paper cites A.; Yates, J.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials A.; Yates, J
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:59.254408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d2027533-f82d-4b42-818c-9eb6c3610c10 · outbound
This paper cites High-Throughput Screening and Automated Processing toward Novel Topological Insulators.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials High-Throughput Screening and Automated Processing toward Novel Topological Insulators
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:59.094083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f03ca5eb-a635-4eb8-a703-988aba94b0d3 · outbound
This paper cites How Attentive are Graph Attention Networks? International Conference on Learning Representations.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials How Attentive are Graph Attention Networks? International Conference on Learning Representations
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:58.883307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bfcbf0e3-3dcb-4c94-83dc-03e633ccd3a0 · outbound
This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:58.718489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3332ec75-aa0a-482a-8a7c-3f26e2d1435c · outbound
This paper cites P.; Kornbluth, M.; Molinari, N.; Smidt, T.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials P.; Kornbluth, M.; Molinari, N.; Smidt, T
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:58.481407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9d4c1004-978a-4fc3-a19b-f5b80c8075eb · outbound
This paper cites B.; Anasori, B.; Hong, S.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials B.; Anasori, B.; Hong, S
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:58.276999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 12160905-2730-4f4e-adca-11eb87f70bbc · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:56:58.052149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f6001cca-8a30-4c39-8c99-cb1d2be04ebe · outbound
This paper cites Advanced materials (Weinheim) 2011, 23, 4248--4253.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Advanced materials (Weinheim) 2011, 23, 4248--4253
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:57.851366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7d99dedf-3472-4995-8030-1fa7b910e534 · outbound
This paper cites The Rise of MXenes.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials The Rise of MXenes
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:57.633661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ec296ca5-10a9-493b-b6c3-7ac3eac1ec10 · outbound
This paper cites Li-intercalation boosted oxygen vacancies enable efficient electrochemical nitrogen reduction on ultrathin TiO2 nanosheets.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Li-intercalation boosted oxygen vacancies enable efficient electrochemical nitrogen reduction on ultrathin TiO2 nanosheets
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:57.388825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9a212681-f621-4408-a2fc-916d5ac51678 · outbound
This paper cites Cation-induced Ti3C2Tx MXene hydrogel for capacitive energy storage.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Cation-induced Ti3C2Tx MXene hydrogel for capacitive energy storage
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:57.204965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b6f0fb73-064b-46d2-8a1b-d29978f70bfb · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:56:57.014083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6f78cfd5-ae6a-4a2d-8026-31677c4a3343 · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 49
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 645a8f2c-221a-4e0d-9425-96120a96285b · outbound
This paper cites Chalcogen and halogen surface termination coverage in MXenes—structure, stability, and properties.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Chalcogen and halogen surface termination coverage in MXenes—structure, stability, and properties
Reference 50
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d69aef51-84f8-401c-9cc5-267c6823b5b2 · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 51
- Resolution
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- raw_fallback, observed 2026-08-06T23:56:56.326269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d5e40be3-9c75-499e-9bc9-d4571e18483b · outbound
This paper cites Ab initio molecular dynamics for liquid metals.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Ab initio molecular dynamics for liquid metals
Reference 52
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89a035e2-9dbe-4925-9bc5-4c320f521ff5 · outbound
This paper cites Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:56.147545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 813652ba-ba48-49fe-b9e7-5ec045d6626f · outbound
This paper cites From ultrasoft pseudopotentials to the projector augmented-wave method.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials From ultrasoft pseudopotentials to the projector augmented-wave method
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a439f5ea-9bf9-46d8-8f0b-282f7677b0db · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 55
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 81a162fa-d672-4ba7-8808-4dd5f5fabd9d · outbound
This paper cites P.; Burke, K.; Ernzerhof, M.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials P.; Burke, K.; Ernzerhof, M
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01076b67-a82c-41c0-b620-4bd5ebc5c359 · outbound
This paper cites I.; Zaanen, J.; Andersen, O.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials I.; Zaanen, J.; Andersen, O
Reference 57
- Resolution
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- raw_fallback, observed 2026-08-06T23:56:55.797700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9c25f4ce-f6b4-43a7-862f-ecd0532e6483 · outbound
This paper cites G., Stephan Ehrlich Effect of the Damping Function in Dispersion CorrectedDensity Functional Theory.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials G., Stephan Ehrlich Effect of the Damping Function in Dispersion CorrectedDensity Functional Theory
Reference 58
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 973497eb-412c-4f74-8833-558a5f9e0569 · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 59
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2bf50043-5f68-41f3-8343-b921eb841328 · outbound
This paper cites BoltzWann: A code for the evaluation of thermoelectric and electronic transport properties with a maximally-localized Wannier functions basis.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials BoltzWann: A code for the evaluation of thermoelectric and electronic transport properties with a maximally-localized Wannier functions basis
Reference 60
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4e518099-7a56-4f27-b5cc-8b4bad71b3b5 · outbound
This paper cites High-throughput prediction of the carrier relaxation time via data-driven descriptor.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials High-throughput prediction of the carrier relaxation time via data-driven descriptor
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:55.123541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 86403460-92ee-4eea-ba9c-f3398c07d4b1 · outbound
This paper cites an unresolved cited work.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Unresolved cited work
Reference 62
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e65ac8f5-fcda-4215-ba56-297bdfad09f3 · outbound
This paper cites Optuna: A Next-Generation Hyperparameter Optimization Framework.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Optuna: A Next-Generation Hyperparameter Optimization Framework
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:54.841444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ae0eb557-9c52-4bc9-9096-4510cdfe0960 · outbound
This paper cites Algorithms for Hyper-Parameter Optimization.
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials Algorithms for Hyper-Parameter Optimization
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:56:54.758346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.