| Literature DB >> 33569957 |
Jason Ford1,2, Stefan Seritan1,2, Xiaolei Zhu1,2, Michael N Sakano3, Md Mahbub Islam3,4, Alejandro Strachan3, Todd J Martínez1,2.
Abstract
We explore the systematic construction of kinetic models from in silico reaction data for the decomposition of nitromethane. Our models are constructed in a computationally affordable manner by using reactions discovered through accelerated molecular dynamics simulations using the ReaxFF reactive force field. The reaction paths are then optimized to determine reaction rate parameters. We introduce a reaction barrier correction scheme that combines accurate thermochemical data from density functional theory with ReaxFF minimal energy paths. We validate our models across different thermodynamic regimes, showing predictions of gas phase CO and NO concentrations and high-pressure induction times that are similar to experimental data. The kinetic models are analyzed to find fundamental decomposition reactions in different thermodynamic regimes.Entities:
Year: 2021 PMID: 33569957 DOI: 10.1021/acs.jpca.0c09168
Source DB: PubMed Journal: J Phys Chem A ISSN: 1089-5639 Impact factor: 2.781