F. Pizarro

Conditional Deep Convolutional GAN for the Design of High-Performance Periodic Absorber Metasurfaces

This work presents a conditional deep convolutional generative adversarial network (CDCGAN) for the inverse design of high-absorptance periodic metasurfaces (MSs) with different geometries. The conditioning mechanism encodes geometric and spectral parameters. A key innovation is the inclusion of unit cells with differe...