Category-Specific Topological Learning of Metal-Organic Frameworks | Paper Citation Record

Observation 0c4b9d08-7509-4dd8-a91f-1aacc733c07c · outbound

This paper cites The current status of mof and cof applications.

Category-Specific Topological Learning of Metal-Organic Frameworks The current status of mof and cof applications

Reference 1

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This paper cites Green synthesis of metal–organic frameworks: A state-of-the-art review of potential environmental and medical applications.

Category-Specific Topological Learning of Metal-Organic Frameworks Green synthesis of metal–organic frameworks: A state-of-the-art review of potential environmental and medical applications

Reference 2

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Observation 5c79c728-3e3d-4fef-a6a9-8844ec7486c4 · outbound

This paper cites Guest inclusion and structural dynamics in 2-d hydrogen-bonded metal- organic frameworks.

Category-Specific Topological Learning of Metal-Organic Frameworks Guest inclusion and structural dynamics in 2-d hydrogen-bonded metal- organic frameworks

Reference 3

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This paper cites an unresolved cited work.

Category-Specific Topological Learning of Metal-Organic Frameworks Unresolved cited work

Reference 4

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Observation 2127067f-18aa-4e58-9b2e-a68c725c6ac6 · outbound

This paper cites Gas storage in porous metal–organic frameworks for clean energy applications.

Category-Specific Topological Learning of Metal-Organic Frameworks Gas storage in porous metal–organic frameworks for clean energy applications

Reference 5

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Observation da9040bc-53b8-4d64-8090-903bea5c1dfb · outbound

This paper cites Mof-based membranes for gas separations.

Category-Specific Topological Learning of Metal-Organic Frameworks Mof-based membranes for gas separations

Reference 6

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Observation 5d61d549-c490-4ec6-8e58-b82d5d6dd401 · outbound

This paper cites Metal–organic framework materials as catalysts.

Category-Specific Topological Learning of Metal-Organic Frameworks Metal–organic framework materials as catalysts

Reference 7

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Observation 0d6cd278-2468-4f08-97ea-52b13c6500d2 · outbound

This paper cites Zirconium-based metal–organic frameworks for the catalytic hydrolysis of organophosphorus nerve agents.

Category-Specific Topological Learning of Metal-Organic Frameworks Zirconium-based metal–organic frameworks for the catalytic hydrolysis of organophosphorus nerve agents

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.298452Z

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Observation 71f5b2e9-ac56-40cb-aba4-46352ac13685 · outbound

This paper cites Metal–organic framework materials as chemical sensors.

Category-Specific Topological Learning of Metal-Organic Frameworks Metal–organic framework materials as chemical sensors

Reference 9

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Observation e27edafb-b301-41d2-a780-cefb5d712276 · outbound

This paper cites High-throughput computational screening of metal– organic frameworks.

Category-Specific Topological Learning of Metal-Organic Frameworks High-throughput computational screening of metal– organic frameworks

Reference 10

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Observation b2984f73-c761-464b-bc89-16108ee7b405 · outbound

This paper cites Computational screening of trillions of metal–organic frameworks for high- performance methane storage.

Category-Specific Topological Learning of Metal-Organic Frameworks Computational screening of trillions of metal–organic frameworks for high- performance methane storage

Reference 11

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Observation 7b1f8947-37d2-4add-98a5-ba751f32fad4 · outbound

This paper cites Density functional theory of electronic structure.

Category-Specific Topological Learning of Metal-Organic Frameworks Density functional theory of electronic structure

Reference 12

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Observation a1ae856e-22e6-4d27-bda2-621f1169687b · outbound

This paper cites Molecular dynamics simulations in biology.

Category-Specific Topological Learning of Metal-Organic Frameworks Molecular dynamics simulations in biology

Reference 13

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Observation 8ef9848c-b162-4648-bd54-1f1ca1a95f96 · outbound

This paper cites Hierarchical materials from high information content macromolecular building blocks: construction, dynamic inter- ventions, and prediction.

Category-Specific Topological Learning of Metal-Organic Frameworks Hierarchical materials from high information content macromolecular building blocks: construction, dynamic inter- ventions, and prediction

Reference 14

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Observation 5e1b538f-e5ca-4fee-8a71-699a403ad0c9 · outbound

This paper cites Recent advances, opportunities, and challenges in high- throughput computational screening of mofs for gas separations.

Category-Specific Topological Learning of Metal-Organic Frameworks Recent advances, opportunities, and challenges in high- throughput computational screening of mofs for gas separations

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.211486Z

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Observation 859a7d3d-8f7c-48b5-bb63-4f4577c0c85e · outbound

This paper cites Rational design of novel biomimetic sequence-defined polymers for mineralization applications.

Category-Specific Topological Learning of Metal-Organic Frameworks Rational design of novel biomimetic sequence-defined polymers for mineralization applications

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.199289Z

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Observation 34c3f4b5-28a4-4720-944b-e5f91288f932 · outbound

This paper cites Computational and experimental determination of the properties, structure, and stability of peptoid nanosheets and nanotubes.

Category-Specific Topological Learning of Metal-Organic Frameworks Computational and experimental determination of the properties, structure, and stability of peptoid nanosheets and nanotubes

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.186350Z

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Observation 617bf1bc-4db5-4dcd-b05f-13e2a7143e8d · outbound

This paper cites Influence of peptoid sequence on the mechanisms and kinetics of 2d assembly.

Category-Specific Topological Learning of Metal-Organic Frameworks Influence of peptoid sequence on the mechanisms and kinetics of 2d assembly

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.172787Z

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Observation d8f18f12-ad82-441c-8b48-a94388b5737a · outbound

This paper cites Machine learning in materials science.

Category-Specific Topological Learning of Metal-Organic Frameworks Machine learning in materials science

Reference 19

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Observation b3ad8047-a648-442b-a708-b8f1e27b8ed3 · outbound

This paper cites Mof synthesis prediction enabled by automatic data mining and machine learning.

Category-Specific Topological Learning of Metal-Organic Frameworks Mof synthesis prediction enabled by automatic data mining and machine learning

Reference 20

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Observation 10307164-07fd-443a-aaf6-cbe19e9c965c · outbound

This paper cites Applications of machine learning in metal-organic frameworks.

Category-Specific Topological Learning of Metal-Organic Frameworks Applications of machine learning in metal-organic frameworks

Reference 21

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Observation eea1c466-4b15-4df4-a634-00ec0a722867 · outbound

This paper cites Development of the design and synthesis of metal–organic frameworks (mofs)–from large scale attempts, functional oriented modifications, to artificial intelligence (ai) predictions.

Category-Specific Topological Learning of Metal-Organic Frameworks Development of the design and synthesis of metal–organic frameworks (mofs)–from large scale attempts, functional oriented modifications, to artificial intelligence (ai) predictions

Reference 22

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Observation 342f8f16-8e5d-4c97-87a1-7c1e40745f5c · outbound

This paper cites Metal–organic framework with optimally selective xenon adsorption and separation.

Category-Specific Topological Learning of Metal-Organic Frameworks Metal–organic framework with optimally selective xenon adsorption and separation

Reference 23

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Observation 27ab4b72-799f-41e6-854d-5a752f1eaeda · outbound

This paper cites Progress toward the compu- tational discovery of new metal–organic framework adsorbents for energy applications.

Category-Specific Topological Learning of Metal-Organic Frameworks Progress toward the compu- tational discovery of new metal–organic framework adsorbents for energy applications

Reference 24

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Observation c6e6c7f0-0294-44d9-9799-69818c320c01 · outbound

This paper cites Advances, updates, and analytics for the computation-ready, experimental metal– organic framework database: Core mof 2019.

Category-Specific Topological Learning of Metal-Organic Frameworks Advances, updates, and analytics for the computation-ready, experimental metal– organic framework database: Core mof 2019

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.084025Z

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Observation 45f463c4-1920-4967-bdcb-dfd892271e0d · outbound

This paper cites Large-scale screening of hypothetical metal–organic frameworks.

Category-Specific Topological Learning of Metal-Organic Frameworks Large-scale screening of hypothetical metal–organic frameworks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.071014Z

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Observation fb409f87-2489-414a-9d54-fcf7bf3a9270 · outbound

This paper cites Prediction of o2/n2 selectivity in metal–organic frameworks via high-throughput computational screening and machine learning.

Category-Specific Topological Learning of Metal-Organic Frameworks Prediction of o2/n2 selectivity in metal–organic frameworks via high-throughput computational screening and machine learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.057480Z

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Observation b4568aa5-8d0a-4f2f-b1c3-797095c21436 · outbound

This paper cites Using machine learning and data mining to leverage community knowledge for the engineering of stable metal–organic frameworks.

Category-Specific Topological Learning of Metal-Organic Frameworks Using machine learning and data mining to leverage community knowledge for the engineering of stable metal–organic frameworks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.045076Z

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Observation 1251ea83-9866-4ef5-a9f9-35c906b3e5dd · outbound

This paper cites Energy-based descriptors to rapidly predict hydrogen storage in metal–organic frameworks.

Category-Specific Topological Learning of Metal-Organic Frameworks Energy-based descriptors to rapidly predict hydrogen storage in metal–organic frameworks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.032733Z

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Observation 369e82b2-3ea0-4600-ab8b-189119529961 · outbound

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

Category-Specific Topological Learning of Metal-Organic Frameworks Machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.016868Z

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Observation 76113c01-c308-4272-aafc-8b39d4159977 · outbound

This paper cites Crystal graph convolutional neural networks for an accurate and interpretable prediction of material properties.

Category-Specific Topological Learning of Metal-Organic Frameworks Crystal graph convolutional neural networks for an accurate and interpretable prediction of material properties

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:45.002221Z

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Observation 32dd4f26-661d-439d-84f5-c00becf9a315 · outbound

This paper cites A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks.

Category-Specific Topological Learning of Metal-Organic Frameworks A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.990997Z

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Observation e8db88c8-ec65-4e65-93f1-6319f6ea719f · outbound

This paper cites Enhancing structure–property relationships in porous materials through transfer learning and cross-material few-shot learning.

Category-Specific Topological Learning of Metal-Organic Frameworks Enhancing structure–property relationships in porous materials through transfer learning and cross-material few-shot learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.978448Z

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Observation 25f3c69e-5123-4874-a9ce-be1f5437647d · outbound

This paper cites Moformer: self- supervised transformer model for metal–organic framework property prediction.

Category-Specific Topological Learning of Metal-Organic Frameworks Moformer: self- supervised transformer model for metal–organic framework property prediction

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.962631Z

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Observation 85795a24-18b6-47cd-bbf8-292fbc3c63b5 · outbound

This paper cites Interpretable graph transformer network for predicting adsorption isotherms of metal–organic frameworks.

Category-Specific Topological Learning of Metal-Organic Frameworks Interpretable graph transformer network for predicting adsorption isotherms of metal–organic frameworks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.948212Z

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Observation 43846d4f-a179-4ac9-b5b0-987b9cc55641 · outbound

This paper cites Agl-score: algebraic graph learning score for protein– ligand binding scoring, ranking, docking, and screening.

Category-Specific Topological Learning of Metal-Organic Frameworks Agl-score: algebraic graph learning score for protein– ligand binding scoring, ranking, docking, and screening

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.935940Z

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Observation 27648937-4031-4b67-a1e6-613e95ca758c · outbound

This paper cites Algebraic graph-assisted bidirectional transformers for molecular property prediction.

Category-Specific Topological Learning of Metal-Organic Frameworks Algebraic graph-assisted bidirectional transformers for molecular property prediction

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.922568Z

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Observation befd8c12-c4ea-4b95-bc8b-e55706cf79d5 · outbound

This paper cites Computing persistent homology.

Category-Specific Topological Learning of Metal-Organic Frameworks Computing persistent homology

Reference 38

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Category-Specific Topological Learning of Metal-Organic Frameworks Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:02:44.903164Z

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Observation 15f80ab0-e282-4e47-92b0-5a1bedd0370e · outbound

This paper cites Path topology in molecular and materials sciences.

Category-Specific Topological Learning of Metal-Organic Frameworks Path topology in molecular and materials sciences

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.891592Z

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Observation 54a485bc-b94e-4a9c-8602-fb43906a0f32 · outbound

This paper cites Persistent spectral graph.

Category-Specific Topological Learning of Metal-Organic Frameworks Persistent spectral graph

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:44.570259Z

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Observation d7a8ee82-4cdb-4bca-8dcc-ea162adc9a0e · outbound

This paper cites Topologynet: Topology based deep convolutional and multi- task neural networks for biomolecular property predictions.

Category-Specific Topological Learning of Metal-Organic Frameworks Topologynet: Topology based deep convolutional and multi- task neural networks for biomolecular property predictions

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.871339Z

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Observation 0aeda50b-5f8a-4eb6-8cad-d7a4d6e00baa · outbound

This paper cites Topological represen- tations of crystalline compounds for the machine-learning prediction of materials properties.

Category-Specific Topological Learning of Metal-Organic Frameworks Topological represen- tations of crystalline compounds for the machine-learning prediction of materials properties

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.857267Z

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Observation 79a080f1-5e39-45fb-b81d-be320548ea92 · outbound

This paper cites Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions.

Category-Specific Topological Learning of Metal-Organic Frameworks Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:44.583328Z

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Observation 6a960b6b-37c0-42a5-8adb-768493d2fa1f · outbound

This paper cites Mathematical deep learning for pose and binding affinity prediction and ranking in d3r grand challenges.

Category-Specific Topological Learning of Metal-Organic Frameworks Mathematical deep learning for pose and binding affinity prediction and ranking in d3r grand challenges

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:44.587446Z

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Observation 47a5f2d4-61b4-464d-bc72-bec3910311f5 · outbound

This paper cites Mathdl: mathematical deep learning for d3r grand challenge 4.

Category-Specific Topological Learning of Metal-Organic Frameworks Mathdl: mathematical deep learning for d3r grand challenge 4

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:44.591933Z

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Observation 0c1e7d0e-8562-44dc-89b7-a51f17bd4849 · outbound

This paper cites High- temperature carbon dioxide capture in a porous material with terminal zinc hydride sites.

Category-Specific Topological Learning of Metal-Organic Frameworks High- temperature carbon dioxide capture in a porous material with terminal zinc hydride sites

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.821730Z

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Observation 45064c18-5000-4e05-bf81-fd3507b3e996 · outbound

This paper cites Geometry and topology for mesh generation.

Category-Specific Topological Learning of Metal-Organic Frameworks Geometry and topology for mesh generation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.810217Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a2732021-6d57-4fcf-99ee-0b6f87844d6a · outbound

This paper cites Topology for computing, volume 16.

Category-Specific Topological Learning of Metal-Organic Frameworks Topology for computing, volume 16

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.798610Z

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Observation 306e3e67-1faa-49b9-b0d0-6407c087412b · outbound

This paper cites On the Vietoris-Rips complexes and a cohomology theory for metric spaces.

Category-Specific Topological Learning of Metal-Organic Frameworks On the Vietoris-Rips complexes and a cohomology theory for metric spaces

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.788051Z

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Observation a53b4ed2-30e2-43fd-b8ab-6d5dbe0fcf19 · outbound

This paper cites Elementary applied topology, volume 1.

Category-Specific Topological Learning of Metal-Organic Frameworks Elementary applied topology, volume 1

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.775831Z

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Observation 7a5ccddc-5767-4d01-9677-574129dbc97a · outbound

This paper cites Smooth surfaces for multi-scale shape representation.

Category-Specific Topological Learning of Metal-Organic Frameworks Smooth surfaces for multi-scale shape representation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.764745Z

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Observation 2f9b63fb-c478-4833-9e2c-055060b81ef1 · outbound

This paper cites Barcodes: the persistent topology of data.

Category-Specific Topological Learning of Metal-Organic Frameworks Barcodes: the persistent topology of data

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.752185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c20a0258-0cbf-43d4-b2ab-20c7d27039e4 · outbound

This paper cites Scikit- learn: Machine learning in python.

Category-Specific Topological Learning of Metal-Organic Frameworks Scikit- learn: Machine learning in python

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.739157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8c5df33b-3c5a-440e-964c-2e48e22efd65 · outbound

This paper cites Persistent Topological Laplacians -- a Survey.

Category-Specific Topological Learning of Metal-Organic Frameworks Persistent Topological Laplacians -- a Survey

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:44.623720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d5f9a9-14b0-4f8f-b399-82c43b865d56 · outbound

This paper cites Neighborhood path complex for the quantitative analysis of the structure and stability of carboranes.

Category-Specific Topological Learning of Metal-Organic Frameworks Neighborhood path complex for the quantitative analysis of the structure and stability of carboranes

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.726225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 57e5ba6e-7a7d-42b8-822c-c2dbe81efcf5 · outbound

This paper cites Neighborhood hypergraph model for topological data analysis.

Category-Specific Topological Learning of Metal-Organic Frameworks Neighborhood hypergraph model for topological data analysis

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.712549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7ac22b26-ad01-4630-a91e-827e0d58a809 · outbound

This paper cites Combinatorial algebraic topology , volume 21.

Category-Specific Topological Learning of Metal-Organic Frameworks Combinatorial algebraic topology , volume 21

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.699770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6e84e380-55a8-46f1-a848-90ea0a836008 · outbound

This paper cites Evolutionary khovanov homology.

Category-Specific Topological Learning of Metal-Organic Frameworks Evolutionary khovanov homology

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:02:44.685785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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