20.500.12556/DiRROS-28452 Digitalisation of inorganic chemistry with LLMs 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. true false true The Royal Society of Chemistry Združeno kraljestvo Angleški jezik Ni določen This journal is © the Partner Organisations 2026 Neznano 2026-03-19 13:54:01 2026-03-19 13:54:02 2026-03-26 03:46:56 0000-00-00 00:00:00 2026 0 0 Nasl. z nasl. zaslona; Soavtorja iz Slovenije: Senja Pollak, Sašo Džeroski; Opis vira z dne 19. 3. 2026; str. [1-7] Vol. 13 [in press] 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2026-02-03 2026-03-10 2026-03-17 004.8:546 2052-1553 10.1039/D6QI00240D 272215299 https://pubs.rsc.org/en/content/articlelanding/2026/qi/d6qi00240d 1 b5dc4a02-2392-11f1-8070-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=42149 RAZ_Koloski_Boshko_2026.pdf RAZ_Koloski_Boshko_2026.pdf 1 23157C9252820BFBB440F5C8F52C0938 f10efb164de7b20b24c364f128da77a4a9c68dc3f35696bfe99a3aea5ab287e1 4dfe26de-2393-11f1-8070-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=42150 Institut Jožef Stefan 0 0 0