Predicting fluorescence to singlet oxygen generation quantum yield ratio for BODIPY dyes using QSPR and machine learning.

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Bibliographic Details
Title: Predicting fluorescence to singlet oxygen generation quantum yield ratio for BODIPY dyes using QSPR and machine learning.
Authors: Chebotaev PP; Faculty of Physics, Saint-Petersburg State University, Universiteteskaya Emb. 7-9, 199034 St. Petersburg, Russia. andreybuglak@gmail.com., Buglak AA; Faculty of Physics, Saint-Petersburg State University, Universiteteskaya Emb. 7-9, 199034 St. Petersburg, Russia. andreybuglak@gmail.com.; Institute of Physics, Kazan Federal University, 18 Kremlyovskaya street, 420008, Kazan, Russia., Sheehan A; School of Chemical and Biopharmaceutical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland. mikhail.filatov@tudublin.ie., Filatov MA; School of Chemical and Biopharmaceutical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland. mikhail.filatov@tudublin.ie.
Source: Physical chemistry chemical physics : PCCP [Phys Chem Chem Phys] 2024 Oct 02; Vol. 26 (38), pp. 25131-25142. Date of Electronic Publication: 2024 Oct 02.
Publication Type: Journal Article
Journal Info: Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 100888160 Publication Model: Electronic Cited Medium: Internet ISSN: 1463-9084 (Electronic) Linking ISSN: 14639076 NLM ISO Abbreviation: Phys Chem Chem Phys Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1463-9084
DOI:10.1039/d4cp02471k