An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design | Paper Citation Record

Observation b3d4abae-4d02-434d-82bb-04679f5fa531 · outbound

This paper cites Zhang,et al., Exploring the role of large language models in the scientific method: from hypothesis to discovery.npj Artif.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Zhang,et al., Exploring the role of large language models in the scientific method: from hypothesis to discovery.npj Artif

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This paper cites Peivaste,et al., Artificial intelligence in materials science and engineering: Current landscape, key challenges, and future trajectories.Compos.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Peivaste,et al., Artificial intelligence in materials science and engineering: Current landscape, key challenges, and future trajectories.Compos

Reference 2

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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This paper cites A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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Observation 3a65d26d-fce6-4044-81bc-8b9a902bba05 · outbound

This paper cites Zaki, Jayadeva, Mausam, N.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Zaki, Jayadeva, Mausam, N

Reference 7

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This paper cites Zhang, X.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Zhang, X

Reference 8

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This paper cites MolXPT: Wrapping Molecules with Text for Generative Pre-training.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design MolXPT: Wrapping Molecules with Text for Generative Pre-training

Reference 9

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This paper cites Chen,et al., An overview of domain-specific foundation model: key technologies, applica- tions and challenges (2025),https://arxiv.org/abs/2409.04267.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Chen,et al., An overview of domain-specific foundation model: key technologies, applica- tions and challenges (2025),https://arxiv.org/abs/2409.04267

Reference 10

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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This paper cites Gupta, A.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Gupta, A

Reference 12

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This paper cites Agarwal, A.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Agarwal, A

Reference 13

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

Reference 14

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This paper cites Reymond, The Chemical Space Project.Acc.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Reymond, The Chemical Space Project.Acc

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This paper cites Sahu,et al., Designing promising molecules for organic solar cells via machine learning as- sisted virtual screening.J.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Sahu,et al., Designing promising molecules for organic solar cells via machine learning as- sisted virtual screening.J

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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This paper cites Dollar, N.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Dollar, N

Reference 18

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This paper cites He,et al., Molecular optimization by capturing chemist’s intuition using deep neural net- works.J.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design He,et al., Molecular optimization by capturing chemist’s intuition using deep neural net- works.J

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This paper cites Irwin, S.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Irwin, S

Reference 20

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

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Weininger, SMILES, a chemical language and information system

Reference 21

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This paper cites Weininger, A.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Weininger, A

Reference 22

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This paper cites Sattari, Y.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Sattari, Y

Reference 23

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This paper cites Batra,et al., Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders.Chem.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Batra,et al., Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders.Chem

Reference 24

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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This paper cites Krenn, F.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Krenn, F

Reference 26

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This paper cites Krenn,et al., SELFIES and the future of molecular string representations.Patterns3, 100588 (2022), doi:10.1016/j.patter.2022.100588.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Krenn,et al., SELFIES and the future of molecular string representations.Patterns3, 100588 (2022), doi:10.1016/j.patter.2022.100588

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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This paper cites Savit, H.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Savit, H

Reference 32

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This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Translation between Molecules and Natural Language

Reference 34

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This paper cites C5T5: Controllable Generation of Organic Molecules with Transformers.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design C5T5: Controllable Generation of Organic Molecules with Transformers

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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This paper cites Gurnani,et al., AI-assisted discovery of high-temperature dielectrics for energy storage.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Gurnani,et al., AI-assisted discovery of high-temperature dielectrics for energy storage

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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This paper cites Odian,Ring-Opening Polymerization(John Wiley & Sons, Ltd), chap.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Odian,Ring-Opening Polymerization(John Wiley & Sons, Ltd), chap

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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This paper cites Kuenneth, R.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Kuenneth, R

Reference 45

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Liang,et al., All organic polymer dielectrics for high-temperature energy storage from the classification of heat-resistant insulation grades.J

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This paper cites Landrum, RDKit: Open-source cheminformatics (2016),https://www.rdkit.org.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Landrum, RDKit: Open-source cheminformatics (2016),https://www.rdkit.org

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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This paper cites Odian,Step Polymerization(John Wiley & Sons, Ltd), chap.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Odian,Step Polymerization(John Wiley & Sons, Ltd), chap

Reference 50

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This paper cites Sterling, J.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Sterling, J

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Gaulton,et al., The ChEMBL database in 2017.Nucleic Acids Res.45, D945–D954 (2016), doi:10.1093/nar/gkw1074

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design emolecules.com/

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Zhang,et al., Thiol–bromo click polymerization for multifunctional polymers: synthesis, light refraction, aggregation-induced emission and explosive detection.Polym

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Observation 76091f82-38cf-4887-bb77-79087731f0e3 · outbound

This paper cites Gandini, The furan/maleimide Diels–Alder reaction: A versatile click–unclick tool in macromolecular synthesis.Prog.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Gandini, The furan/maleimide Diels–Alder reaction: A versatile click–unclick tool in macromolecular synthesis.Prog

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Wang,et al., SuFEx-Based Polysulfonate Formation from Ethenesulfonyl Fluoride–Amine Adducts.Angew

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This paper cites Collins, Z.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Collins, Z

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This paper cites SELF-BART : A Transformer-based Molecular Representation Model using SELFIES.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design SELF-BART : A Transformer-based Molecular Representation Model using SELFIES

Reference 60

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This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T08:48:32.401042Z

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This paper cites Sahu, K.-H.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Sahu, K.-H

Reference 62

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This paper cites Kresse, J.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Kresse, J

Reference 63

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An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design Unresolved cited work

Reference 64

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This paper cites There are no competing interests to declare.

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design There are no competing interests to declare

Reference 65

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