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Development and Validation of a Parameter-Free Model Chemistry for the Computation of Reliable Reaction Rates.

Vincenzo BaroneJacopo LupiZoi SaltaNicola Tasinato
Published in: Journal of chemical theory and computation (2021)
A recently developed model chemistry (jun-Cheap) has been slightly modified and proposed as an effective, reliable, and parameter-free scheme for the computation of accurate reaction rates with special reference to astrochemical and atmospheric processes. Benchmarks with different sets of state-of-the-art energy barriers spanning a wide range of values show that, in the absence of strong multireference contributions, the proposed model outperforms the most well-known model chemistries, reaching a subchemical accuracy without any empirical parameter and with affordable computer times. Some test cases show that geometries, energy barriers, zero point energies, and thermal contributions computed at this level can be used in the framework of the master equation approach based on the ab initio transition-state theory for obtaining accurate reaction rates.
Keyphrases
  • high resolution
  • magnetic resonance imaging
  • mass spectrometry
  • magnetic resonance
  • air pollution
  • deep learning
  • density functional theory
  • molecular dynamics
  • diffusion weighted imaging