Designing artificial acoustic metasurfaces via traditional numerical simulations is computationally challenging. Here, the authors introduce a data-driven neural network approach for the inverse design of membrane-type sound absorbers, testing the desired properties on two devices fabricated using model-estimated parameters.
- Hamza Baali
- Mahmoud Addouche
- Abdelkrim Khelif
