<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-13T13:25:34Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/386071" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/386071</identifier><datestamp>2026-01-21T10:13:42Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Benchmarking the face-centred finite volume method for compressible laminar flows</dc:title>
   <dc:creator>Vila Pérez, Jordi</dc:creator>
   <dc:creator>Giacomini, Matteo</dc:creator>
   <dc:creator>Huerta, Antonio</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental</dc:contributor>
   <dc:contributor>Centre Internacional de Mètodes Numèrics en Enginyeria</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits</dc:subject>
   <dc:subject>Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències</dc:subject>
   <dc:subject>Numerical analysis--Simulation methods</dc:subject>
   <dc:subject>Artificial intelligence</dc:subject>
   <dc:subject>CFC</dc:subject>
   <dc:subject>Finite volume</dc:subject>
   <dc:subject>Face-centred</dc:subject>
   <dc:subject>Ansys fluent</dc:subject>
   <dc:subject>Numerical benchmarks</dc:subject>
   <dc:subject>Compressible flows</dc:subject>
   <dc:subject>Anàlisi numèrica</dc:subject>
   <dc:subject>Intel·ligència artificial</dc:subject>
   <dc:subject>Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations</dc:subject>
   <dc:subject>Classificació AMS::68 Computer science::68T Artificial intelligence</dc:subject>
   <dc:description>This work was supported by the Spanish Ministry of Science and Innovation and the Spanish State Research Agency MCIN/AEI/10.13039/501100011033 (PID2020-113463RB- C33 to M.G., PID2020-113463RB-C32 to A.H., CEX2018-000797-S to A.H. and M.G.). M.G. also acknowledges the support of the Generalitat de Catalunya through the Serra Húnter Programme.</dc:description>
   <dc:description>Peer Reviewed</dc:description>
   <dc:description>Postprint (author's final draft)</dc:description>
   <dc:date>2023-03-08</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>Vila, J.; Giacomini, M.; Huerta, A. Benchmarking the face-centred finite volume method for compressible laminar flows. "International journal of numerical methods for heat and fluid flow", 8 Març 2023, vol. 33, núm. 6, p. 2198-2231.</dc:identifier>
   <dc:identifier>0961-5539</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/386071</dc:identifier>
   <dc:identifier>10.1108/HFF-08-2022-0458</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>https://www.emerald.com/insight/content/doi/10.1108/HFF-08-2022-0458/full/html</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113463RB-C32/ES/INGENIERIA COMPUTACIONAL BASADA EN SIMULACION DE APRENDIZAJE AUTOMATICO/</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113463RB-C33/ES/MACHINE LEARNING FOR DATA-DRIVEN MODELING/</dc:relation>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
   <dc:format>33</dc:format>
   <dc:format>application/pdf</dc:format>
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