Aug 2026
Inverse Design of Metamaterials Using Progressively Trained Variational Autoencoders
This work introduces a novel inverse design framework that utilizes a progressively trained variational autoencoder (VAE) in conjunction with data augmentation to enable the rapid and efficient generation of structural design parameters for high-performance nanophotonic components.
Senyan Chun, Guang Chen, Li-Dan Lu et al.
· Engineering Research Express · 0 citations