Author

Ying-Jie Xu

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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