Work

Lagrangian Measurements and Physics-Informed Neural Network for Rayleigh-Bénard Flow Reconstruction

Year: 2024

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Sergent, Anne, Mrini, Soufiane, Bernard, Elian, Lucor, Didier

Institutions: Université Paris-Saclay, Sorbonne Université, Laboratoire Interdisciplinaire des Sciences du Numérique, Laboratoire de Physique de l'ENS de Lyon

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: Agence Nationale de la Recherche, Grand Équipement National De Calcul Intensif

Awards: High Turbulent heat transfert approached with physics enhanced machine learning, G5955682531

OpenAlex ID: W4407091842

FWCI:

Cites:

Cited by:

Related to: 10