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

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	25131-25142
Number of pages	12
Journal	Physical Chemistry Chemical Physics
Volume	26
Issue number	38
DOIs	https://doi.org/10.1039/d4cp02471k
Publication status	Published - 2024

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@article{995f210ce6704dc5abdd63d8bb3347bf,

title = "Predicting fluorescence to singlet oxygen generation quantum yield ratio for BODIPY dyes using QSPR and machine learning",

author = "Chebotaev, \{Platon P.\} and Buglak, \{Andrey A.\} and Aimee Sheehan and Filatov, \{Mikhail A.\}",

note = "Publisher Copyright: {\textcopyright} 2024 The Royal Society of Chemistry.",

year = "2024",

doi = "10.1039/d4cp02471k",

language = "English",

volume = "26",

pages = "25131--25142",

journal = "Physical Chemistry Chemical Physics",

issn = "1463-9076",

publisher = "Royal Society of Chemistry",

number = "38",

}

TY - JOUR

T1 - Predicting fluorescence to singlet oxygen generation quantum yield ratio for BODIPY dyes using QSPR and machine learning

AU - Chebotaev, Platon P.

AU - Buglak, Andrey A.

AU - Sheehan, Aimee

AU - Filatov, Mikhail A.

PY - 2024

Y1 - 2024

UR - https://www.scopus.com/pages/publications/85205604645

U2 - 10.1039/d4cp02471k

DO - 10.1039/d4cp02471k

M3 - Article

SN - 1463-9076

VL - 26

SP - 25131

EP - 25142

JO - Physical Chemistry Chemical Physics

JF - Physical Chemistry Chemical Physics

IS - 38

ER -