MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models | Paper Citation Record

Observation a7245d3c-95a8-49fc-a03e-06dc5e0fb70a · outbound

This paper cites B.; Bae, Y.-S.; Wilmer, C.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models B.; Bae, Y.-S.; Wilmer, C

Reference 1

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Observation 4e6f5b15-a58e-4397-9a9b-8a057a55ec0e · outbound

This paper cites G.; Chidambaram, A.; Garc \' a-D \' ez, E.; Ireland, C.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models G.; Chidambaram, A.; Garc \' a-D \' ez, E.; Ireland, C

Reference 2

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Observation 898c1991-d273-4865-a3e2-8eb0fc290417 · outbound

This paper cites Water desalination with two-dimensional metal--organic framework membranes.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Water desalination with two-dimensional metal--organic framework membranes

Reference 3

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Observation 7260e970-25b9-4edb-be12-a383db279673 · outbound

This paper cites F.; Goscianska, J.; Demessence, A.; Ettlinger, R.; Wuttke, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models F.; Goscianska, J.; Demessence, A.; Ettlinger, R.; Wuttke, S

Reference 4

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Observation 37338c18-c731-4dd9-a1e7-6bf13d30f306 · outbound

This paper cites T.; Peng, L.; Reeder, W.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models T.; Peng, L.; Reeder, W

Reference 5

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Observation eb796e97-cc4b-4790-8ef0-4a34a2b70366 · outbound

This paper cites Emerging Multifunctional Metal–Organic Framework Materials.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Emerging Multifunctional Metal–Organic Framework Materials

Reference 6

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Observation 68a93420-09b1-41a0-aada-285e3f71d8f8 · outbound

This paper cites Methane storage in metal–organic frameworks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Methane storage in metal–organic frameworks

Reference 7

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Observation 6ce2a666-caad-4575-9925-a41c581a41d8 · outbound

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MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Unresolved cited work

Reference 8

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Observation 5031e112-7a13-449b-be36-cfc1cbf98219 · outbound

This paper cites Z.; Li, A.; Wiggin, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Z.; Li, A.; Wiggin, S

Reference 9

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Observation 58476dad-5a33-40c1-8e6d-34f53d8f482e · outbound

This paper cites E.; Leaf, M.; Lee, C.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models E.; Leaf, M.; Lee, C

Reference 10

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Observation d54d21de-6b78-42ac-8cc7-44e66b1287f8 · outbound

This paper cites M.; Ongari, D.; Moosavi, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models M.; Ongari, D.; Moosavi, S

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:12.247977Z

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Observation 69ca204a-4704-4d22-a32e-59fdc240f432 · outbound

This paper cites C.; Slater, B.; Smit, B.; Haranczyk, M.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models C.; Slater, B.; Smit, B.; Haranczyk, M

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:12.134935Z

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Observation c82beb72-3f08-45ed-8f05-1d5e87688815 · outbound

This paper cites S.; Notestein, J.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Notestein, J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:11.980194Z

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Observation 01c18cba-7b60-4b54-99db-ae501a5f3e03 · outbound

This paper cites G.; Chung, Y.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models G.; Chung, Y

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:11.900847Z

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Observation 49af1713-1c43-4d82-ae07-e7cfe89dacd6 · outbound

This paper cites D.; Barati Farimani, A.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models D.; Barati Farimani, A

Reference 15

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Observation 401c8e74-c0d0-4394-9e0e-e98b47a3e820 · outbound

This paper cites M.; Jablonka, K.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models M.; Jablonka, K

Reference 16

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Observation 67d430f8-50fe-4bed-bde1-d21730ffd654 · outbound

This paper cites B.; Long, J.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models B.; Long, J

Reference 17

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Observation 9489ecff-ef28-4ad5-a20c-c6ca64b63996 · outbound

This paper cites S.; Notestein, J.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Notestein, J

Reference 18

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Observation 322353dd-0dc8-440b-9e00-e9c0a097ee72 · outbound

This paper cites From Data to Discovery: Recent Trends of Machine Learning in Metal–Organic Frameworks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models From Data to Discovery: Recent Trends of Machine Learning in Metal–Organic Frameworks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:11.310289Z

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Observation d22fa008-2f95-4303-acd8-33a070055832 · outbound

This paper cites MOFormer: Self-Supervised Transformer Model for Metal–Organic Framework Property Prediction.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models MOFormer: Self-Supervised Transformer Model for Metal–Organic Framework Property Prediction

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:11.172162Z

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Observation c84e57fa-70a8-455e-9687-14b3a33d2bc1 · outbound

This paper cites Harnessing Large Language Models to Collect and Analyze Metal--Organic Framework Property Data Set.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Harnessing Large Language Models to Collect and Analyze Metal--Organic Framework Property Data Set

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:11.051295Z

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Observation fb7cdc55-f163-47db-854a-5d431e043a0a · outbound

This paper cites Evaluation of open-source large language models for metal--organic frameworks research.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Evaluation of open-source large language models for metal--organic frameworks research

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:10.931022Z

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Observation b7eaa0cf-6974-4ac1-a38c-29d2ddad212d · outbound

This paper cites an unresolved cited work.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Unresolved cited work

Reference 23

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Observation 70aa31a2-a9ae-411f-8dc1-cd136b4470ab · outbound

This paper cites an unresolved cited work.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:17:10.661903Z

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Observation 2d032a4d-1d3f-421c-80cb-4c869ce34614 · outbound

This paper cites Crystal twins: self-supervised learning for crystalline material property prediction.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Crystal twins: self-supervised learning for crystalline material property prediction

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:10.526290Z

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Observation ad339ca4-f251-447c-b04a-1244f6d38808 · outbound

This paper cites C.; Aksu, G.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models C.; Aksu, G

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:10.416038Z

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Observation f6e6c138-fa75-478e-9711-450163512d2e · outbound

This paper cites F.; Keskin, S.; Yildirim, R.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models F.; Keskin, S.; Yildirim, R

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:10.306229Z

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Observation 21f1728e-ffa5-4ba1-bbd4-095189ba06d5 · outbound

This paper cites W.; Kulik, H.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models W.; Kulik, H

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:10.102418Z

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Observation 4defc144-360c-4db4-8c79-8f28df7e8e46 · outbound

This paper cites Accelerating CO₂ Direct Air Capture Screening for Metal-Organic Frameworks with a Transferable Machine Learning Force Field.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Accelerating CO₂ Direct Air Capture Screening for Metal-Organic Frameworks with a Transferable Machine Learning Force Field

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:09.910341Z

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Observation ee678bfb-af4c-4a5d-a341-3172c49c7738 · outbound

This paper cites Crystal Diffusion Variational Autoencoder for Periodic Material Generation.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 30

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Observation 7dd60c1b-bd5a-49f6-84a7-c447983fa16a · outbound

This paper cites Application of Transformers in Cheminformatics.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Application of Transformers in Cheminformatics

Reference 31

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Observation 143c1c58-f721-4716-a832-145c99b81642 · outbound

This paper cites Multimodal language and graph learning of adsorption configuration in catalysis.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Multimodal language and graph learning of adsorption configuration in catalysis

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:09.569888Z

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Observation 5645947b-ff14-47a9-9fee-83778ebcccc9 · outbound

This paper cites PeptideBERT: A Language Model Based on Transformers for Peptide Property Prediction.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models PeptideBERT: A Language Model Based on Transformers for Peptide Property Prediction

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:09.392042Z

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Observation 04a2da34-4b01-4848-a472-9ebc242b9386 · outbound

This paper cites Catalyst Energy Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Catalyst Energy Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:09.165156Z

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Observation 0d576d43-79d7-4cf3-a214-55a032f4510d · outbound

This paper cites H.; Rieth, A.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models H.; Rieth, A

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:09.027687Z

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Observation 96202ff2-4bb9-4dce-b039-c23fafa770a9 · outbound

This paper cites T.; Huisman, B.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models T.; Huisman, B

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:08.861722Z

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Observation e4f883ec-3ac8-43f1-9d7a-aec3dba851c4 · outbound

This paper cites The problem of learning long-term dependencies in recurrent networks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models The problem of learning long-term dependencies in recurrent networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:08.707900Z

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Observation dda3d1ff-ee23-4cdd-8f38-f0bafb0146db · outbound

This paper cites De novo generation of hit-like molecules from gene expression signatures using artificial intelligence.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models De novo generation of hit-like molecules from gene expression signatures using artificial intelligence

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:08.553940Z

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Observation 744aa461-0c26-41e9-b400-63e2e9df9cc6 · outbound

This paper cites Conditional Molecular Design with Deep Generative Models.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Conditional Molecular Design with Deep Generative Models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:08.376436Z

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Observation 980756fd-3143-45a7-a7d1-a3fff4165220 · outbound

This paper cites Communications Materials 2022, 3, 93.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Communications Materials 2022, 3, 93

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:08.222280Z

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Observation bbd76b8c-3afd-4683-93c1-d2ca66a2ed3f · outbound

This paper cites A.; Chaudhuri, S.; Cooper, D.; Foster, I.; Tajkhorshid, E.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models A.; Chaudhuri, S.; Cooper, D.; Foster, I.; Tajkhorshid, E

Reference 41

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Observation d7e412eb-ceb3-4df9-a5ee-c2728d617c39 · outbound

This paper cites System of Agentic AI for the Discovery of Metal-Organic Frameworks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models System of Agentic AI for the Discovery of Metal-Organic Frameworks

Reference 42

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Observation e12ed268-bc34-4809-a603-646dfdc42af9 · outbound

This paper cites S.; Jaakkola, T.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Jaakkola, T

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:07.903877Z

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Observation e287bff5-7b56-4a59-85d5-579f1d5c90f1 · outbound

This paper cites an unresolved cited work.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:17:07.729461Z

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Observation 497ed80b-dfd9-4675-a73b-6de36a5b7881 · outbound

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MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Unresolved cited work

Reference 45

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Observation fc7c9db2-e167-4e55-a4da-1993fef87ee8 · outbound

This paper cites Bidirectional Molecule Generation with Recurrent Neural Networks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Bidirectional Molecule Generation with Recurrent Neural Networks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:07.438060Z

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Observation b4be8a61-f300-40fa-815c-8a039599b54a · outbound

This paper cites S.; Bucior, B.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Bucior, B

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:07.291598Z

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Observation c68c823e-55b1-4d91-bef1-d25af2938410 · outbound

This paper cites Mode Regularized Generative Adversarial Networks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Mode Regularized Generative Adversarial Networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:54.767448Z

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Observation 330c60c6-cd8b-4f28-99c1-7bb0f664f113 · outbound

This paper cites Are VAEs Bad at Reconstructing Molecular Graphs?.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Are VAEs Bad at Reconstructing Molecular Graphs?

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:17:00.429030Z

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Observation 8d2b07b5-b558-4b3f-a76a-0ad189799e02 · outbound

This paper cites M.; Nandy, A.; Jablonka, K.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models M.; Nandy, A.; Jablonka, K

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:07.132991Z

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Observation 140eb370-c340-491e-8d98-a72e3e1bc598 · outbound

This paper cites Has generative artificial intelligence solved inverse materials design? Matter 2024, 7, 2355--2367.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Has generative artificial intelligence solved inverse materials design? Matter 2024, 7, 2355--2367

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:06.956421Z

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Observation 92ce2fed-c8b6-4d6a-a7c7-96e569e3e9cf · outbound

This paper cites N.; Kaiser, .; Polosukhin, I.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models N.; Kaiser, .; Polosukhin, I

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:55.084100Z

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Observation 1171e5a8-41c0-4e31-af02-1298e758c5a5 · outbound

This paper cites Language Models are Unsupervised Multitask Learners.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Language Models are Unsupervised Multitask Learners

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:06.785081Z

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Observation a93bdcfa-08ec-484c-a2b9-3e7e18867320 · outbound

This paper cites K.; Priyakumar, U.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models K.; Priyakumar, U

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:06.629536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7523bbd3-8c48-49cd-bd0d-ecb006dc467d · outbound

This paper cites J.; Rosen, A.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models J.; Rosen, A

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:06.460591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6e71a4a0-6990-4a1a-9fdd-1d0d4c2318a7 · outbound

This paper cites SMILES, a chemical language and information system.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models SMILES, a chemical language and information system

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:06.362428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 135553ac-b48b-4db4-af1b-3bb497fced1b · outbound

This paper cites A.; Ramsden, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models A.; Ramsden, S

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:06.164672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2eac23a-33bb-4cf5-8569-6c9292a2f145 · outbound

This paper cites Inverse design of porous materials using artificial neural networks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Inverse design of porous materials using artificial neural networks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:06.102587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 461690a5-201f-4252-82c8-ec63c4bc91a0 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:55.863433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4df6e82-4de5-42dc-ba38-66cfe78e6be5 · outbound

This paper cites Reinforced Adversarial Neural Computer for de Novo Molecular Design.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Reinforced Adversarial Neural Computer for de Novo Molecular Design

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:05.956105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 604c7581-cacc-40ef-96d7-ba050ff3eebe · outbound

This paper cites Deep reinforcement learning for de novo drug design.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Deep reinforcement learning for de novo drug design

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:05.842070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c2aad460-813f-475e-a830-bbfea8e0ed1e · outbound

This paper cites Molecule generation using transformers and policy gradient reinforcement learning.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Molecule generation using transformers and policy gradient reinforcement learning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:05.703492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d1069d32-ddec-4311-9056-9b2711d84cc8 · outbound

This paper cites Deep Reinforcement Learning for Inverse Inorganic Materials Design.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Deep Reinforcement Learning for Inverse Inorganic Materials Design

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:56.260076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3546376d-34ec-447b-884c-a00d28fdcf18 · outbound

This paper cites Inverse design of metal--organic frameworks for direct air capture of CO 2 via deep reinforcement learning.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Inverse design of metal--organic frameworks for direct air capture of CO 2 via deep reinforcement learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:05.534262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation caf934d3-7121-4562-9c8c-0ef37e56c0a4 · outbound

This paper cites T.; Yaghi, O.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models T.; Yaghi, O

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:05.308086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d5fee5ec-c5c0-4111-988e-5c453319633b · outbound

This paper cites ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:05.101091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f5224278-463f-4093-8242-11532e3e013e · outbound

This paper cites S.; Iyer, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Iyer, S

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:04.883465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2fd95d33-6dbe-4b99-8fbe-af219f0ee309 · outbound

This paper cites S.; Fung, V.; Huck, P.; O’Donnell, C.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Fung, V.; Huck, P.; O’Donnell, C

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:04.694682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c40c2c2c-1ae2-47eb-b028-8788dc3a7d46 · outbound

This paper cites S.; McAllester, D.; Singh, S.; Mansour, Y.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; McAllester, D.; Singh, S.; Mansour, Y

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:04.470082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 74992a4d-67aa-4886-9e86-177bddfd1b19 · outbound

This paper cites G.; Veenstra, M.; Matzger, A.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models G.; Veenstra, M.; Matzger, A

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:04.299736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dcba6c83-5dda-48b3-918a-2f14b7d38196 · outbound

This paper cites G.; Camp, J.; Haranczyk, M.; Sikora, B.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models G.; Camp, J.; Haranczyk, M.; Sikora, B

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:04.150981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 149e19ab-691f-497c-82f6-823fc5ca53f5 · outbound

This paper cites A.; Sumida, K.; Herm, Z.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models A.; Sumida, K.; Herm, Z

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:03.973892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1fe21f04-f3a1-4f55-bc21-2ca3402c6a71 · outbound

This paper cites H.; Park, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models H.; Park, S

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:03.778313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 318a9cdd-f808-40bd-b9b0-635ae5ac2aec · outbound

This paper cites Q.; Mai, T.; Pham-Tran, N.-N.; Kawazoe, Y.; Mizuseki, H.; Nguyen-Manh, D.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Q.; Mai, T.; Pham-Tran, N.-N.; Kawazoe, Y.; Mizuseki, H.; Nguyen-Manh, D

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:03.597839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cebee431-362c-424c-986d-fd9e5ca7e8f3 · outbound

This paper cites He, Yabing and Zhou, Wei and Qian, Guodong and Chen, Banglin.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models He, Yabing and Zhou, Wei and Qian, Guodong and Chen, Banglin

Reference 75

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T12:17:00.151347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 341e03ac-7c94-42d5-8648-fcefd0d8683f · outbound

This paper cites A.; Bekas, C.; Lee, A.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models A.; Bekas, C.; Lee, A

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:03.364244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4300675f-e024-4568-9f59-b953d8e944e6 · outbound

This paper cites Found in Translation.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Found in Translation

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:03.124417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d275aa9a-219a-4e1c-ab26-a3775264606d · outbound

This paper cites C.; Nair, V.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models C.; Nair, V

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:02.903771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3da9958d-7d3f-4aa8-b8e3-c9d20905eaa7 · outbound

This paper cites S.; Skorupskii, G.; Dincă, M.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Skorupskii, G.; Dincă, M

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:02.659059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e344a140-b82a-4ddb-9941-eb06cc6897b9 · outbound

This paper cites C.; Elias, J.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models C.; Elias, J

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:02.385835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f0c3e058-98d1-4c7e-acd9-bc13f979e1ee · outbound

This paper cites Identification of optimal metal-organic frameworks by machine learning: Structure decomposition, feature integration, and predictive modeling.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Identification of optimal metal-organic frameworks by machine learning: Structure decomposition, feature integration, and predictive modeling

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:02.135364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3730f6dc-f7fd-472f-bb7b-3d1d0cc46785 · outbound

This paper cites V.; Soldatov, M.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models V.; Soldatov, M

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:01.841081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a8ade122-ac89-4f40-ae8b-063ae6cef45d · outbound

This paper cites Proximal Policy Optimization Algorithms.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Proximal Policy Optimization Algorithms

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:58.687488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbb93672-6cb8-4a78-a78b-16ace10bd933 · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:58.800415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 626a9a52-db7e-41f1-a279-4cfb1713f9f8 · outbound

This paper cites M.; Jablonka, K.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models M.; Jablonka, K

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:01.574177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 44f4a26c-b5f0-4be2-aaff-69f928730af5 · outbound

This paper cites Metal–organic frameworks for artificial photosynthesis and photocatalysis.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Metal–organic frameworks for artificial photosynthesis and photocatalysis

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:01.345875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 848aef37-9fa9-4186-a76d-82e56dc8cb0c · outbound

This paper cites E.; O’Keeffe, M.; Yaghi, O.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models E.; O’Keeffe, M.; Yaghi, O

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:01.144823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation abbce9ec-03bb-41cb-ab94-c51a6472e523 · outbound

This paper cites Metal-Organic Framework Composites for Catalysis.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Metal-Organic Framework Composites for Catalysis

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:00.894276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 166574cb-7cc2-4821-bd9b-64c9e4bed8b4 · outbound

This paper cites D.; Stavila, V.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models D.; Stavila, V

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:00.690268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2315ffdc-6e65-4b2f-b28c-2fd83670899d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:59.659347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers