Genetic Deep Learning for Photonic Device Inverse Design

We demonstrate an inverse design method by combining deep neural networks and genetic optimization. The method significantly reduces the training data compared with existing methods. The method is adopted to design some ultra-compact photonic devices to show its high computing efficiency and great flexibility.