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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2022
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9505051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yasuikyuichi meritsanddemeritsofodemodelingofphysicochemicalsystemsfornumericalsimulations |