14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
183 Citations•2023•
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al‐Feghali
A hackathon that employed large-language models for various applications, including predicting properties of molecules and materials, designing novel interfaces for tools, extracting knowledge from unstructured data, and developing new educational applications indicates that LLMs will profoundly impact the future of the authors' fields.
Abstract
We report the findings of a hackathon focused on exploring the diverse applications of large language models in molecular and materials science.