Knowledge integration for physics-informed symbolic regression using pre-trained large language models.

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Bibliographic Details
Title: Knowledge integration for physics-informed symbolic regression using pre-trained large language models.
Authors: Taskin B; Department of Computing, Jonkoping University, Jonkoping, Sweden., Xie W; Department of Computing, Jonkoping University, Jonkoping, Sweden., Lazebnik T; Department of Computing, Jonkoping University, Jonkoping, Sweden. lazebnik.teddy@gmail.com.; Department of Information Science, University of Haifa, Haifa, Israel. lazebnik.teddy@gmail.com.
Source: Scientific reports [Sci Rep] 2026 Jan 13; Vol. 16 (1), pp. 1614. Date of Electronic Publication: 2026 Jan 13.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2045-2322
DOI:10.1038/s41598-026-35327-6