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.
- This article is part of the themed collections: 2026 Inorganic Chemistry Frontiers HOT Articles and 2026 Inorganic Chemistry Frontiers Review-type Articles
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