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Accelerating urban scale simulations leveraging local spatial 3D structure

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Accelerating urban scale simulations leveraging local spatial 3D structure

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Iserte, S.; Macías, A.; Martínez-Cuenca, R.; Chiva, S.; Paredes Palacios, R.; Quintana-Ortí, ES. (2022). Accelerating urban scale simulations leveraging local spatial 3D structure. Journal of Computational Science. 62:1-11. https://doi.org/10.1016/j.jocs.2022.101741

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/196279

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Title: Accelerating urban scale simulations leveraging local spatial 3D structure
Author: Iserte, Sergio Macías, Aina Martínez-Cuenca, Raúl Chiva, Sergio Paredes Palacios, Roberto Quintana-Ortí, Enrique S.
UPV Unit: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Issued date:
Abstract:
[EN] This paper presents a hybrid methodology for accelerating Computational Fluid Dynamics (CFD) simulations intertwining inferences from deep neural networks (DNN). The strategy leverages the local spatial data of the ...[+]
Subjects: Computational fluid dynamics , Structured mesh , Convolutional neural network , High performance computing , Data-driven simulations
Copyrigths: Reconocimiento (by)
Source:
Journal of Computational Science. (issn: 1877-7503 )
DOI: 10.1016/j.jocs.2022.101741
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.jocs.2022.101741
Project ID:
info:eu-repo/grantAgreement/GVA//APOSTD%2F2020%2F026/
info:eu-repo/grantAgreement/GVA//FDGENT/
Thanks:
Researcher S. Iserte was supported by postdoctoral fellowship APOSTD/2020/026 from GVA-ESF. While researcher A. Macias was supported by predoctoral fellowship FDGENT from GVA. CTE-Power cluster of the Barcelona Supercomputing ...[+]
Type: Artículo

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