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This study predicts chemical reaction rate constants using advanced computational methods without adjustable parameters. The results show excellent agreement with experimental data for various systems, validating the approach.

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Area of Science:

  • Chemical Kinetics
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Accurate prediction of chemical reaction rates is crucial for understanding complex chemical systems.
  • Existing methods often require experimental data or adjustable parameters for reliable predictions.

Purpose of the Study:

  • To develop and validate an *a priori* computational approach for predicting low-pressure-limit microcanonical and thermal rate constants.
  • To assess the performance of the method across various chemical systems and bath gases.

Main Methods:

  • Automated *ab initio* potential energy surface construction.
  • Classical trajectory simulations and transition state theory.
  • Detailed energy- and angular-momentum-resolved collision kernel analysis.

Main Results:

  • Predicted thermal rate constants show excellent agreement with experimental data (average deviations < 25%).
  • The *a priori* method performs well for diverse bath gases (e.g., H2O, CO2, CH4, NH3).
  • Microcanonical rate constants effectively interpret kinetic trends and mechanistic details.

Conclusions:

  • The developed computational approach provides accurate, parameter-free predictions of rate constants.
  • The method is broadly applicable to atomic, diatomic, and polyatomic systems.
  • This work advances the *a priori* prediction of chemical kinetics.