Instituto Nacional del Carbón

output

20172023

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.

S. Deville6 · h 43
G. Fantozzi2 profiles5 · h 56
J. Bartolom'e2 profiles5 · h 6
J. Chevalier5 · h 63
J. Moya5 · h 46
R. Torrecillas5 · h 38
C. Pecharromán2 profiles3 · h 36
L. A. Díaz2 profiles3 · h 23
J. Requena2 · h 18
C. Dauvergne1 · h 1
Gilbert Fantozzi1 · h 2
J. Bartolomé1 · h 33

collaborating institutions

Instituto de Ciencia de Materiales de MadridES6 papers
Consejo Superior de Investigaciones CientíficasES4 papers
Matériaux Ingénierie et ScienceFR4 papers
Institut National des Sciences Appliquées de LyonFR3 papers
Centre National de la Recherche ScientifiqueFR2 papers
Argonne National LaboratoryUS1 paper
Biogen (Belgium)BE1 paper
Duke UniversityUS1 paper
École Polytechnique Fédérale de LausanneCH1 paper
Federal Institute For Materials Research and TestingDE1 paper
Film IndependentUS1 paper
Istituto Ortopedico RizzoliIT1 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…