Microcanonical Rate Constants With Rice–Ramsperger–Kassel–Marcus in <i>Eyringpy</i>

Rice-Ramsperger-Kassel-Marcus (RRKM) theory was implemented in Eyringpy to enable the computation of microcanonical rate constants, densities of states (DOS), and sums of states. Input can be provided either as experimental data or directly from electronic-structure output files, requiring minimal user specification. The Stein-Rabinovitch algorithm was employed for accurate state counting, and tunneling corrections were introduced through the Eckart model to account for light-particle transfer and narrow barriers. To validate the implementation, the DOS of hydrogen peroxide was evaluated with anharmonic-vibrational corrections, and three gas-phase reactions were analyzed: thermal decomposition of digermane, bromine-atom loss from CH<sub>2</sub>BrO·, and hydrofluoric-acid elimination from CF<sub>3</sub>CH<sub>3</sub>. The validation confirms that Eyringpy provides accurate and efficient RRKM calculations, providing reliable kinetic analyses of unimolecular reactions across a broad energy range.

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Publication Details

Journal
Journal of Computational Chemistry
Published
2025-11-12
DOI
https://doi.org/10.1002/jcc.70259
Citations
1
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
1.25

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article

Microcanonical Rate Constants With Rice–Ramsperger–Kassel–Marcus in Eyringpy

Eugenia Dzib, Gabriel Merino, Aura Gómez‐Heredia
1 citations
Journal of Computational Chemistry
Advanced Chemical Physics Studies
1.25
article

Microcanonical Rate Constants With Rice–Ramsperger–Kassel–Marcus in Eyringpy

Eugenia Dzib, Gabriel Merino, Aura Gómez‐Heredia
article en
1 citations

Abstract

Rice-Ramsperger-Kassel-Marcus (RRKM) theory was implemented in Eyringpy to enable the computation of microcanonical rate constants, densities of states (DOS), and sums of states. Input can be provided either as experimental data or directly from electronic-structure output files, requiring minimal user specification. The Stein-Rabinovitch algorithm was employed for accurate state counting, and tunneling corrections were introduced through the Eckart model to account for light-particle transfer and narrow barriers. To validate the implementation, the DOS of hydrogen peroxide was evaluated with anharmonic-vibrational corrections, and three gas-phase reactions were analyzed: thermal decomposition of digermane, bromine-atom loss from CH<sub>2</sub>BrO·, and hydrofluoric-acid elimination from CF<sub>3</sub>CH<sub>3</sub>. The validation confirms that Eyringpy provides accurate and efficient RRKM calculations, providing reliable kinetic analyses of unimolecular reactions across a broad energy range.

Journal of Computational ChemistryVol. 46(30)
Universidad Autónoma Metropolitana (MX), Instituto de Estudios Avanzados (VE), Centro de Investigación en Materiales Avanzados (MX), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX)
Instituto Politécnico Nacional, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Openalex Percentile: Top 16%
Advanced Chemical Physics Studies
1.25
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Microcanonical Rate Constants With Rice–Ramsperger–Kassel–Marcus in <i>Eyringpy</i> — Eugenia Dzib, Gabriel Merino, et al. · Journal of Computational Chemistry (2025) | TGRS Research Map | TGRS