Repositori institucional URV
| Autor/es de la URV: | Lopez Alonso, Nuria / Morandi, Santiago / Sabadell Rendón, Albert |
| Autor según el artículo: | Sabadell-Rendón, A; Kazmierczak, K; Morandi, S; Euzenat, F; Curulla-Ferré, D; López, N |
| Direcció de correo del autor: | nuria.lopez@urv.cat santiago.morandi@estudiants.urv.cat albert.sabadell@estudiants.urv.cat |
| Año de publicación de la revista: | 2023 |
| Tipo de publicación: | Journal Publications |
| Referencia de l'ítem segons les normes APA: | Sabadell-Rendón, A; Kazmierczak, K; Morandi, S; Euzenat, F; Curulla-Ferré, D; López, N (2023). Automated MUltiscale simulation environment. Digital Discovery, 2(6), 1721-1732. DOI: 10.1039/d3dd00163f |
| Referencia al articulo segun fuente origial: | Digital Discovery. 2 (6): 1721-1732 |
| Resumen: | Multiscale techniques integrating detailed atomistic information on materials and reactions to predict the performance of heterogeneous catalytic full-scale reactors have been suggested but lack seamless implementation. The largest challenges in the multiscale modeling of reactors can be grouped into two main categories: catalytic complexity and the difference between time and length scales of chemical and transport phenomena. Here we introduce the Automated MUltiscale Simulation Environment AMUSE, a workflow that starts from Density Functional Theory (DFT) data, automates the analysis of the reaction networks through graph theory, prepares it for microkinetic modeling, and subsequently integrates the results into a standard open-source Computational Fluid Dynamics (CFD) code. We demonstrate the capabilities of AMUSE by applying it to the unimolecular iso-propanol dehydrogenation reaction and then, increasing the complexity, to the pre-commercial Pd/In2O3 catalyst employed for the CO2 hydrogenation to methanol. The results show that AMUSE allows the computational investigation of heterogeneous catalytic reactions in a comprehensive way, providing essential information for catalyst design from the atomistic to the reactor scale level. AMUSE is a multiscale framework integrating detailed atomistic information on materials and reactions to predict the performance of heterogeneous catalytic full-scale reactors. |
| DOI del artículo: | 10.1039/d3dd00163f |
| Enlace a la fuente original: | https://pubs.rsc.org/en/content/articlelanding/2023/dd/d3dd00163f |
| Versión del articulo depositado: | info:eu-repo/semantics/publishedVersion |
| Acceso a la licencia de uso: | https://creativecommons.org/licenses/by/3.0/es/ |
| Departamento: | Química Física i Inorgànica |
| URL Documento de licencia: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Áreas temáticas: | Computer science, interdisciplinary applications Chemistry, multidisciplinary Chemistry (miscellaneous) |
| Palabras clave: | Mechanism Mass-transfer Kinetics Fixed-bed reactors Chemistry Cfd |
| Entidad: | Universitat Rovira i Virgili |
| Fecha de alta del registro: | 2024-08-03 |
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| Archivo | Descripción | Formato | |
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| DocumentPrincipal | DocumentPrincipal | application/pdf |
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