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EStokTP: Electronic Structure to Temperature- and Pressure-Dependent Rate Constants-A Code for Automatically
C Cavallotti1, M Pelucchi1, Y Georgievskii2
1Department of Chemistry, Materials and Chemical Engineering "G. Natta" , Politecnico di Milano , Milan , Italy.
A new computational tool, EStokTP, simplifies a priori rate predictions for gas-phase reactions. This environment automates electronic structure and kinetic calculations, reducing human effort for accurate reaction rate constants.
Area of Science:
- Computational Chemistry
- Chemical Kinetics
- Theoretical Chemistry
Background:
- Accurate a priori rate predictions for gas-phase reactions are crucial for understanding chemical processes.
- Current computational methods often achieve accuracy comparable to experimental data.
- Implementing these predictions for numerous systems remains challenging due to significant human effort.
Purpose of the Study:
- To develop a computational environment, EStokTP, that minimizes human effort in predicting reaction rates.
- To enable efficient, high-accuracy kinetic predictions for large sets of chemical reactions.
- To provide a fully integrated workflow for both electronic structure and kinetic calculations.
Main Methods:
- EStokTP integrates electronic structure calculations with kinetic solvers, such as transition state theory (TST)-based master equation solvers.
- The environment automates the generation, extraction, and organization of structural properties from electronic structure codes.
- Implements advanced theoretical treatments including hindered rotor models, Eckart and small curvature tunneling, and variational methods.
Main Results:
- EStokTP significantly reduces the human effort required for predicting rate constants of single-channel reactions.
- The code successfully generates necessary master equation building blocks for complex reaction systems.
- Demonstrated application to studies involving hundreds of abstraction, addition, isomerization, and beta-decomposition reactions.
Conclusions:
- EStokTP offers a robust and efficient platform for high-accuracy theoretical studies of chemical reaction rates.
- The automated workflow facilitates the application of advanced TST methods to large-scale reaction datasets.
- Preliminary protocols for barrierless and multi-well/multi-channel reactions show potential for broader applicability.
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