Prediction and inverse design of compact hybrid acoustic metamaterial absorbers enabled by deep learning
To address the urgent demand for low-frequency, broadband, and compact noise control structures in modern engineering, this paper proposes an intelligent design framework based on deep learning for hybrid acoustic absorbers combining micro-perforated panels and space-coiling structures. This hybrid design achieves exce...