Shuang Huang

Inverse design of membrane-type acoustic metamaterials based on physics-informed neural networks

Inverse design of membrane-type acoustic metamaterials (MAMs) for low-frequency sound insulation is challenged by costly sample acquisition, limited interpretability of purely data-driven models, non-unique solutions, and unstable training. This study proposes a small-sample physics-informed neural network (PINN) fra...