Monte Carlo based QSGFEAR: prediction of Gibb's free energy of activation at different temperatures using SMILES based descriptors

Autor: Rahul Singh, Parvin Kumar, Meena Devi, Sohan Lal, Ashwani Kumar, Jayant Sindhu, Alla P. Toropova, Andrey A. Toropov, Devender Singh
Rok vydání: 2022
Předmět:
Zdroj: New Journal of Chemistry. 46:19062-19072
ISSN: 1369-9261
1144-0546
DOI: 10.1039/d2nj03515d
Popis: Monte Carlo optimization based QSGFEAR model development using CII results in the formation of more reliable, robust and predictive models.
Databáze: OpenAIRE