Kinetics of N2 Release from Diazo Compounds: A Combined Machine Learning-Density Functional Theory Study

Kinetics of N2 Release from Diazo Compounds: A Combined Machine Learning-Density Functional Theory Study

Description

Total potential (E) and Thermal correction to Gibbs Free Energies obtained using SMD/M06-2X/def2-TZVP//SMD/M06-2X/6-31G(d) level of theory in dichloroethane and Cartesian coordinates for all of the calculated structures. dataset Python Machine Learning Script
Show more

Year of publication

2023

Authors

Department of Chemistry and Materials Science

Arsalan Hashemi Petrudi Orcid -palvelun logo - Creator

Kari Laasonen Orcid -palvelun logo - Creator

Kaveh Farshadfar Orcid -palvelun logo - Creator

Reza Khakpour Orcid -palvelun logo - Creator

Zenodo - Publisher

Other information

Fields of science

Chemical sciences

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Kinetics of N2 Release from Diazo Compounds: A Combined Machine Learning-Density Functional Theory Study - Research.fi