14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
École Polytechnique Fédérale de Lausanne · Massachusetts Institute of Technology · +20 more institutions
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Abstract
We report the findings of a hackathon focused on exploring the diverse applications of large language models in molecular and materials science.
Citation impact
198
total citations
- FWCI
- 20.66
- Percentile
- 100%
- References
- 91
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Authors
53Topics & keywords
Topics
Keywords
- Reflection (computer programming)
- Computer science
- Chemistry
- Nanotechnology
- Materials science
- Programming language
UN Sustainable Development Goals
- Quality Education
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Funding
- NSNational Science FoundationAwards: #1931306, DGE-2022040, 1917340, #2209892, #2226419, 1764415
- UDU.S. Department of Energy
- UDU.S. Department of Commerce
- ESEsperantic Studies Foundation
- GFGrantham Foundation for the Protection of the Environment
- WTWellcome Trust
- FCFrancis Crick Institute
- CRCancer Research UK
- ECEuropean CommissionAward: RYC-2017-21937
- SNSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungAward: 51NF40-182892
- FWFédération Wallonie-Bruxelles
- NINational Institutes of HealthAward: U18TR004149
- NINational Institute of Standards and Technology
- OOOffice of Science
- H2Horizon 2020 Framework ProgrammeAward: 957189
- MRMedical Research Council
- EAEngineering and Physical Sciences Research Council
- CSConsejo Superior de Investigaciones CientíficasAward: LINKA20412
- AEAgencia Estatal de InvestigaciónAward: TED2021-131693B-I00
- NINational Institute of General Medical SciencesAward: R35GM137966
- HEHigh Energy PhysicsAward: DE-FOA-0002705
- CFCenter for Hierarchical Materials DesignAward: 70NANB19H005
- HMH2020 Marie Skłodowska-Curie ActionsAwards: 945363, 847587
- NCNCCR CatalysisAward: 180544