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physics.comp-ph2019
Iterative optimization of photonic crystal nanocavity designs by using deep neural networks
Takashi Asano, Susumu Noda
Devices based on two-dimensional photonic-crystal (2D-PC) nanocavities, which are defined by their air hole patterns, usually require a high quality (Q) factor to achieve high perf…
physics.comp-ph2018
Optimization of photonic crystal nanocavities based on deep learning
Takashi Asano, Susumu Noda
An approach to optimizing the Q factors of two-dimensional photonic crystal (2D-PC) nanocavities based on deep learning is proposed and demonstrated. We prepare a dataset consistin…