| Title: | Digitalisation of inorganic chemistry with LLMs |
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| Authors: | ID Koloski, Boshko, Institut "Jožef Stefan" (Author)
ID Pollak, Senja, Institut "Jožef Stefan" (Author)
ID Džeroski, Sašo, Institut "Jožef Stefan" (Author)
ID Kondinski, Aleksandar (Author) |
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| Files: |  URL - Source URL, visit https://pubs.rsc.org/en/content/articlelanding/2026/qi/d6qi00240d
 PDF - Presentation file, download (561,79 KB)
MD5: 23157C9252820BFBB440F5C8F52C0938
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  IJS - Jožef Stefan Institute
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| 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. |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 03.02.2026 |
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| Article acceptance date: | 10.03.2026 |
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| Publication date: | 17.03.2026 |
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| Publisher: | The Royal Society of Chemistry |
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| Year of publishing: | 2026 |
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| Number of pages: | str. [1-7] |
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| Numbering: | Vol. 13 |
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| Source: | Združeno kraljestvo |
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| PID: | 20.500.12556/DiRROS-28452  |
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| UDC: | 004.8:546 |
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| ISSN on article: | 2052-1553 |
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| DOI: | 10.1039/D6QI00240D |
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| COBISS.SI-ID: | 272215299 |
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| Copyright: | This journal is © the Partner Organisations 2026 |
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| Note: | Nasl. z nasl. zaslona;
Soavtorja iz Slovenije: Senja Pollak, Sašo Džeroski;
Opis vira z dne 19. 3. 2026;
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| Publication date in DiRROS: | 19.03.2026 |
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| Views: | 187 |
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| Downloads: | 94 |
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