214 citations · 214 across the 2 of their papers we have counts for
2 papers
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…
physics.chem-ph2022
Machine learning the quantum flux-flux correlation function for catalytic surface reactions
Brenden G. Pelkie, Stephanie Valleau
A dataset of fully quantum flux-flux correlation functions and reaction rate constants was constructed for organic heterogeneous catalytic surface reactions. Gaussian process regre…