Graph Neural Network models as compliant RANS closure

Michele Quattromini; Michele Alessandro Bucci; Stefania Cherubini; Onofrio Semeraro

Conference Papers Year :

Graph Neural Network models as compliant RANS closure

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Michele Quattromini

Function : Author

Department of Mechanics, Mathematics and Management

Michele Alessandro Bucci

Function : Author

A&O (Apprentissage et Optimisation)

Stefania Cherubini

Function : Author

Department of Mechanics, Mathematics and Management

Onofrio Semeraro

Function : Author

Laboratoire Interdisciplinaire des Sciences du Numérique

Domains

Engineering Sciences [physics]

quattromini_IUTAM_aarhus2022.pdf (1.24 Mo)

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Onofrio SEMERARO : Connect in order to contact the contributor

https://hal.science/hal-03854595

Submitted on : Tuesday, November 15, 2022-9:28:37 PM

Last modification on : Thursday, January 26, 2023-4:03:02 AM

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hal-03854595 , version 1 (15-11-2022)

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HAL Id : hal-03854595 , version 1

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Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Graph Neural Network models as compliant RANS closure. IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics, Jun 2022, Aarhus, Denmark. ⟨hal-03854595⟩

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CNRS INRIA CENTRALESUPELEC UNIV-PARIS-SACLAY LISN GS-COMPUTER-SCIENCE LISN-AO LISN-DATAFLOT

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Graph Neural Network models as compliant RANS closure

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