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The Francis Crick Institute

United Kingdom

6 papers here256 citations across 6
fields
  • cond-mat.stat-mech2
  • cond-mat.mtrl-sci1
  • cond-mat.soft1
  • physics.bio-ph1
  • physics.ins-det1
ROR 04tnbqb63OpenAlex

affiliations via OpenAlex

output
20162025
most cited14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

214 citations

researchers with a paper here
  • Andrea Cairoli2
  • Massimiliano Giona2
  • Rainer Klages2
  • A. Labarre1 · h 5
  • Alexander Al-Feghali1 · h 4
  • Alishba Imran1 · h 6
  • Andrew C. Oates1
  • Andrew D. White1 · h 9
  • Ankur Gupta1 · h 3
  • Aristana Scourtas1 · h 8
  • B. Blaiszik1 · h 32
  • Ben Blaiszik1
collaborating institutions
  • Queen Mary University of LondonGB2 papers
  • Sapienza University of RomeIT2 papers
  • University College LondonGB2 papers
  • Argonne National LaboratoryUS1 paper
  • Biogen (Belgium)BE1 paper
  • Center for Advancing Electronics DresdenDE1 paper
  • Duke UniversityUS1 paper
  • École Polytechnique Fédérale de LausanneCH1 paper
  • Federal Institute For Materials Research and TestingDE1 paper
  • Film IndependentUS1 paper
  • Freie Universität BerlinDE1 paper
  • Hawassa UniversityET1 paper
Showing cond-mat.mtrl-sciShow all

1 paper · 1 filter

cond-mat.mtrl-sci2023★ 214 cited

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali +50

Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To…

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