2wvxr5qf8Wzp583wubuTsVo6ccyXiOqOz7gvQGH5WVIbJafySdkNihbdDq0L
Current position: Home >> Scientific Research >> Paper Publications

Prediction of Hydrogen Abstraction Rate Constants at the Allylic Site between Alkenes and OH with Multiple Machine Learning Models

Release Time:2025-11-29  Hits:

Journal:JOURNAL OF PHYSICAL CHEMISTRY A

Volume:128

Issue:4

Page Number:761-772

ISSN:1089-5639

Key Words:KINETICS; NEURAL-NETWORKS; SHOCK-TUBE

Prev One:A comprehensive study on low-temperature oxidation chemistry of cyclohexane. I. Conformational analysis and theoretical study of first and second oxygen addition

Next One:Reaction mechanism and kinetic modeling of gas-phase thermal decomposition of prototype nitramine compound HMX