Presentation Information
[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.)
Keywords:
azo photoswitches,Machine learning,Quantitative Structure Property relationship(QSPR)