講演情報
[1P096]A Global Multi-Solvent Machine Learning Framework for Predicting Azo Photoswitch Kinetics and Spectra
*Kaveri Prasad1,2、Hashim PK3、Pavel Sidorov2 (1. Graduate School of Chemical Sciences and Engineering, Hokkaido Univ.、2. ICReDD, Hokkaido Univ.、3. Faculty & Graduate School of Urban Environmental Sciences, Tokyo Metropolitan Univ.)
キーワード：
azo photoswitches、Machine learning、Quantitative Structure Property relationship(QSPR)