Digitalisation of Inorganic Chemistry with LLMs

Abstract

Over the past few years, large language models have become technologically ubiquitous and now offer a powerful route to accelerate discoveries in chemistry. In this article, we highlight current impactful applications of large language models in inorganic chemistry-from smart text mining of the inorganic literature through the proposal and discovery of new materials to real-time experimentation. We also discuss ongoing developments and their potential future impact on the field.

Article information

Article type
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Submitted
03 Feb 2026
Accepted
10 Mar 2026
First published
17 Mar 2026
This article is Open Access
Creative Commons BY license

Inorg. Chem. Front., 2026, Accepted Manuscript

Digitalisation of Inorganic Chemistry with LLMs

B. Koloski, S. Pollak, S. Džeroski and A. Kondinski, Inorg. Chem. Front., 2026, Accepted Manuscript , DOI: 10.1039/D6QI00240D

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