Deep Neural Networks: A Bidirectional Deep Neural Network for Accurate Silicon Color Design (Adv. Mater. 51/2019)

In article number 1905467, to avoid time-consuming electromagnetic simulation and an iterative optimization process, Li Gao, Zongfu Yu, and co-workers report the training of a deep neural network that can perform both forward modeling and inverse design of one million different structural colors. The adoption of a tandem network can solve the nonuniqueness problem in the inverse design process with high efficiency and accuracy.