Biogen (Belgium)

output

20232025

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

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

G.-M. Rignanese2 · h 10
Matthew L. Evans2 · h 12
Victor Trinquet2 · h 6
Cameron J Hargreaves1 · h 3
Pierre-Paul De Breuck1 · h 8

collaborating institutions

UCLouvainBE4 papers
Duke UniversityUS2 papers
École Polytechnique Fédérale de LausanneCH2 papers
Lawrence Berkeley National LaboratoryUS2 papers
Material Measurement LaboratoryUS2 papers
National Institute of Standards and TechnologyUS2 papers
Northwestern Polytechnical UniversityCN2 papers
University of California, BerkeleyUS2 papers
Argonne National LaboratoryUS1 paper
Autonomous University of ChihuahuaMX1 paper
Cavendish HospitalGB1 paper
Centro de Investigación en Materiales AvanzadosMX1 paper

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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…