Understanding Catalyst ‘Volcano’ Dependence Through Fermi-Level Controlled Kinetics Using Electronic Theory

The ubiquitous two-step Michaelis-Menten and Temkin-Boudart reaction mechanisms are extended to include the influence of the catalyst electronic subsystem in a 5-step mechanism. The resulting kinetic equation provides an alternative explanation for the well-known volcano-shaped dependence found in catalysis. The equilibrium constants of fast electronic steps are highlighted for their influence on adsorption and desorption through the relative concentration of charged versus neutral intermediates. This generalized concept can be widely applied to determine the optimal catalyst, based on the Fermi level of the material, for reactions proceeding via this universal reaction.

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Publication Details

Journal
Entropy
Published
2024-11-28
DOI
https://doi.org/10.3390/e26121029
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Understanding Catalyst ‘Volcano’ Dependence Through Fermi-Level Controlled Kinetics Using Electronic Theory

Rebecca Fushimi, Gregory S. Yablonsky, N. N. Turaeva
Entropy
Machine Learning in Materials Science
article

Understanding Catalyst ‘Volcano’ Dependence Through Fermi-Level Controlled Kinetics Using Electronic Theory

Rebecca Fushimi, Gregory S. Yablonsky, N. N. Turaeva
article en

Abstract

The ubiquitous two-step Michaelis-Menten and Temkin-Boudart reaction mechanisms are extended to include the influence of the catalyst electronic subsystem in a 5-step mechanism. The resulting kinetic equation provides an alternative explanation for the well-known volcano-shaped dependence found in catalysis. The equilibrium constants of fast electronic steps are highlighted for their influence on adsorption and desorption through the relative concentration of charged versus neutral intermediates. This generalized concept can be widely applied to determine the optimal catalyst, based on the Fermi level of the material, for reactions proceeding via this universal reaction.

EntropyVol. 26(12)
Washington University in St. Louis (US), Idaho National Laboratory (US), Webster University (US)
U.S. Department of Energy, Idaho Operations Office, U.S. Department of Energy, Laboratory Directed Research and Development
Openalex Percentile: Top 86%
Machine Learning in Materials Science
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Understanding Catalyst ‘Volcano’ Dependence Through Fermi-Level Controlled Kinetics Using Electronic Theory — Rebecca Fushimi, Gregory S. Yablonsky, et al. · Entropy (2024) | TGRS Research Map | TGRS