Presentation Information
[2P-48*]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)