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Merits and Demerits of ODE Modeling of Physicochemical Systems for Numerical Simulations

In comparison with the first-principles calculations mostly using partial differential equations (PDEs), numerical simulations with modeling by ordinary differential equations (ODEs) are sometimes superior in that they are computationally more economical and that important factors are more easily tr...

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Autor principal: Yasui, Kyuichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505051/
https://www.ncbi.nlm.nih.gov/pubmed/36144593
http://dx.doi.org/10.3390/molecules27185860
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author Yasui, Kyuichi
author_facet Yasui, Kyuichi
author_sort Yasui, Kyuichi
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description In comparison with the first-principles calculations mostly using partial differential equations (PDEs), numerical simulations with modeling by ordinary differential equations (ODEs) are sometimes superior in that they are computationally more economical and that important factors are more easily traced. However, a demerit of ODE modeling is the need of model validation through comparison with experimental data or results of the first-principles calculations. In the present review, examples of ODE modeling are reviewed such as sonochemical reactions inside a cavitation bubble, oriented attachment of nanocrystals, dynamic response of flexoelectric polarization, ultrasound-assisted sintering, and dynamics of a gas parcel in a thermoacoustic engine.
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spelling pubmed-95050512022-09-24 Merits and Demerits of ODE Modeling of Physicochemical Systems for Numerical Simulations Yasui, Kyuichi Molecules Review In comparison with the first-principles calculations mostly using partial differential equations (PDEs), numerical simulations with modeling by ordinary differential equations (ODEs) are sometimes superior in that they are computationally more economical and that important factors are more easily traced. However, a demerit of ODE modeling is the need of model validation through comparison with experimental data or results of the first-principles calculations. In the present review, examples of ODE modeling are reviewed such as sonochemical reactions inside a cavitation bubble, oriented attachment of nanocrystals, dynamic response of flexoelectric polarization, ultrasound-assisted sintering, and dynamics of a gas parcel in a thermoacoustic engine. MDPI 2022-09-09 /pmc/articles/PMC9505051/ /pubmed/36144593 http://dx.doi.org/10.3390/molecules27185860 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Yasui, Kyuichi
Merits and Demerits of ODE Modeling of Physicochemical Systems for Numerical Simulations
title Merits and Demerits of ODE Modeling of Physicochemical Systems for Numerical Simulations
title_full Merits and Demerits of ODE Modeling of Physicochemical Systems for Numerical Simulations
title_fullStr Merits and Demerits of ODE Modeling of Physicochemical Systems for Numerical Simulations
title_full_unstemmed Merits and Demerits of ODE Modeling of Physicochemical Systems for Numerical Simulations
title_short Merits and Demerits of ODE Modeling of Physicochemical Systems for Numerical Simulations
title_sort merits and demerits of ode modeling of physicochemical systems for numerical simulations
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505051/
https://www.ncbi.nlm.nih.gov/pubmed/36144593
http://dx.doi.org/10.3390/molecules27185860
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