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Physics-Informed Machine Learning for Acoustic Holography // Holographie acoustique basée sur l’apprentissage informé par la physique

LAUM UMR CNRS 6613 | Le Mans, Pays de la Loire | France | 2 months ago

suitable for non-stationary sources and to investigate the feasibility of real-time acoustic holography. This extension will test the ability of PINNs to represent the dynamic evolution of acoustic fields. 4