We develop deep learning (DL) models based on discriminative and generative networks to solve the forward and inverse acoustic scattering problems and show how these models streamlines the inverse design process by eliminating the degenerate solution space. Specifically, we present DL frameworks for designing broadband acoustic cloaks and arbitrarily-shape acoustic object recognition for underwater applications.
|Original language||English (US)|
|Title of host publication||24th International Congress on Acoustics, ICA 2022|
|Publisher||International Commission for Acoustics (ICA)|
|State||Published - Jan 1 2022|