Machine learning methods for designing a carbon dot based photoluminescent multimodal nanosensor.

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Bibliographic Details
Title: Machine learning methods for designing a carbon dot based photoluminescent multimodal nanosensor.
Authors: Chugreeva G; Faculty of Physics, M.V. Lomonosov Moscow State University, Moscow, Russia. chugreeva.gn17@physics.msu.ru., Laptinskiy K; Faculty of Physics, M.V. Lomonosov Moscow State University, Moscow, Russia.; D.V. Skobeltsyn Institute of Nuclear Physics, M.V. Lomonosov Moscow State University, Moscow, Russia., Guskov A; Faculty of Physics, M.V. Lomonosov Moscow State University, Moscow, Russia., Kupriyanov G; Faculty of Physics, M.V. Lomonosov Moscow State University, Moscow, Russia., Isaev I; D.V. Skobeltsyn Institute of Nuclear Physics, M.V. Lomonosov Moscow State University, Moscow, Russia., Dolenko S; Faculty of Physics, M.V. Lomonosov Moscow State University, Moscow, Russia.; D.V. Skobeltsyn Institute of Nuclear Physics, M.V. Lomonosov Moscow State University, Moscow, Russia., Dolenko T; Faculty of Physics, M.V. Lomonosov Moscow State University, Moscow, Russia.
Source: Scientific reports [Sci Rep] 2026 Mar 03; Vol. 16 (1). Date of Electronic Publication: 2026 Mar 03.
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
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-38266-4