Insights on the Marcus Equation, Derived Coefficients and Spaces

The dimensionless Marcus coefficients, β and γ, derived from the Marcus equation for activation free energy, are fundamentally connected to both reaction free energy and intrinsic activation free energy. Their introduction establishes a novel metric for classifying chemical reactions by defining reaction spaces that rationalize reactions based on the underlying energetic characteristics. This study extends beyond mere classification, introducing a comprehensive framework for representing chemical reactions within a parametric {β, γ} space, uniquely accommodating any reaction within a normalized range [0,1]. Through analysis of a data set comprising 5,269 dipolar [3 + 2] cycloaddition reactions, we demonstrate the framework's applicability, uncovering novel patterns and behaviors. These findings enhance the understanding of linear and quadratic free energy relationships, providing chemists with a powerful tool for reaction categorization and design, thereby advancing computational chemistry and reaction design methodologies.

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Publication Details

Journal
The Journal of Physical Chemistry A
Published
2026-03-05
DOI
https://doi.org/10.1021/acs.jpca.5c08217
Primary Topic
Algebraic and Geometric Analysis
Type
article
Field-Weighted Citation Impact
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article

Insights on the Marcus Equation, Derived Coefficients and Spaces

Nery Villegas‐Escobar, Alejandro Toro-Labbé
The Journal of Physical Chemistry A
Algebraic and Geometric Analysis
article

Insights on the Marcus Equation, Derived Coefficients and Spaces

Nery Villegas‐Escobar, Alejandro Toro-Labbé
article en

Abstract

The dimensionless Marcus coefficients, β and γ, derived from the Marcus equation for activation free energy, are fundamentally connected to both reaction free energy and intrinsic activation free energy. Their introduction establishes a novel metric for classifying chemical reactions by defining reaction spaces that rationalize reactions based on the underlying energetic characteristics. This study extends beyond mere classification, introducing a comprehensive framework for representing chemical reactions within a parametric {β, γ} space, uniquely accommodating any reaction within a normalized range [0,1]. Through analysis of a data set comprising 5,269 dipolar [3 + 2] cycloaddition reactions, we demonstrate the framework's applicability, uncovering novel patterns and behaviors. These findings enhance the understanding of linear and quadratic free energy relationships, providing chemists with a powerful tool for reaction categorization and design, thereby advancing computational chemistry and reaction design methodologies.

The Journal of Physical Chemistry AVol. 130(11)
Pontificia Universidad Católica de Chile (CL), University of Concepción (CL), Rede de Química e Tecnologia (PT)
Openalex Percentile: Top 30%
Algebraic and Geometric Analysis
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