Number of sites-based solver for determining coverages from steady-state mean-field micro-kinetic models

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Détails bibliographiques
Publié dans:Journal of computational chemistry. - 1984. - 45(2024), 9 vom: 05. Apr., Seite 546-551
Auteur principal: Vijay, Sudarshan (Auteur)
Autres auteurs: H Heenen, Hendrik, Singh, Aayush R, Chan, Karen, Voss, Johannes
Format: Article en ligne
Langue:English
Publié: 2024
Accès à la collection:Journal of computational chemistry
Sujets:Journal Article heterogeneous catalysis micro-kinetic modeling reaction networks surface chemistry
Description
Résumé:© 2023 Wiley Periodicals LLC.
Kinetic models parameterized by ab-initio calculations have led to significant improvements in understanding chemical reactions in heterogeneous catalysis. These studies have been facilitated by implementations which determine steady-state coverages and rates of mean-field micro-kinetic models. As implemented in the open-source kinetic modeling program, CatMAP, the conventional solution strategy is to use a root-finding algorithm to determine the coverage of all intermediates through the steady-state expressions, constraining all coverages to be non-negative and to properly sum to unity. Though intuitive, this root-finding strategy causes issues with convergence to solution due to these imposed constraints. In this work, we avoid explicitly imposing these constraints, solving the mean-field steady-state micro-kinetic model in the space of number of sites instead of solving it in the space of coverages. We transform the constrained root-finding problem to an unconstrained least-squares minimization problem, leading to significantly improved convergence in solving micro-kinetic models and thus enabling the efficient study of more complex catalytic reactions
Description:Date Revised 09.02.2024
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:1096-987X
DOI:10.1002/jcc.27263