Multiscale Physics-Informed Neural Networks for the Inverse Design of Hyperuniform Optical Materials

Roberto Riganti, Yilin Zhu, Wei Cai +2

In this article, we employ multiscale physics-informed neural networks (MscalePINNs) for the inverse design of finite-size photonic materials with stealthy hyperuniform (SHU) disor…