Efficient nanophotonic devices optimization using deep neural network trained with physics-based transfer learning (PBTL) methodology

Gibaek Kim, Jungho Kim

We propose a neural network(NN)-based surrogate modeling framework for photonic device optimization, especially in domains with imbalanced feature importance and high data generati…