Litcius/Paper detail

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, Shruti Badhwar, Joshua D. Bocarsly, Andres M Bran, Stefan Bringuier, L. Catherine Brinson, Kamal Choudhary, Defne Çırcı, Sam Cox, Wibe A. de Jong, Matthew L. Evans, Nicolas Gastellu, Jérôme Genzling, M.V. Gil, Ankur K. Gupta, Zhi Hong, Alishba Imran, Sabine Kruschwitz, Anne Labarre, Jakub Lála, Tao Liu, Steven Ma, Sauradeep Majumdar, G. Merz, Nicolas Moitessier, Elias Moubarak, Beatriz Mouriño, Brenden G. Pelkie, Michael Pieler, Mayk Caldas Ramos, Bojana Ranković, Samuel G. Rodriques, Jacob N. Sanders, Philippe Schwaller, Marcus Schwarting, Jiale Shi, Berend Smit, Ben E. Smith, Joren Van Herck, Christoph Völker, Logan Ward, Sean Warren, Benjamin Weiser, Sylvester Zhang, Xiaoqi Zhang, Ghezal Ahmad Zia, Aristana Scourtas, K. J. Schmidt, Ian Foster, Andrew Dickson White, Ben Blaiszik

2023Digital Discovery204 citationsDOIOpen Access PDF

Abstract

We report the findings of a hackathon focused on exploring the diverse applications of large language models in molecular and materials science.

Topics & Concepts

Reflection (computer programming)Computer scienceChemistryNanotechnologyMaterials scienceProgramming languageBiomedical and Engineering EducationGenetics, Bioinformatics, and Biomedical ResearchE-Learning and Knowledge Management