Guangping Zhong

Inverse Design of Metamaterials Using Progressively Trained Variational Autoencoders

Inverse design of metamaterials is crucial for advancing nanophotonics, but traditional methods face challenges in pixel-by-pixel optimization and computational efficiency. This work introduces a novel inverse design framework that utilizes a progressively trained variational autoencoder (VAE) in conjunction with dat...