Predicting the quantum yield of 1O2 generation for pteridines and fluoroquinolones using machine learning.

Saved in:
Bibliographic Details
Title: Predicting the quantum yield of 1O2 generation for pteridines and fluoroquinolones using machine learning.
Authors: Chebotaev PP; Department of Molecular Biophysics and Polymer Physics, St. Petersburg State University, 199034 Saint-Petersburg, Russia. andreybuglak@gmail.com., Buglak AA; Department of Molecular Biophysics and Polymer Physics, St. Petersburg State University, 199034 Saint-Petersburg, Russia. andreybuglak@gmail.com.; Institute of Physics, Kazan Federal University, Kazan, 420008, Russia.
Source: Physical chemistry chemical physics : PCCP [Phys Chem Chem Phys] 2025 Nov 12; Vol. 27 (44), pp. 23722-23740. Date of Electronic Publication: 2025 Nov 12.
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
Database: MEDLINE Ultimate
Description
ISSN:1463-9084
DOI:10.1039/d5cp02333e