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physics.optics2019
Controlling the Minimal Feature Sizes in Adjoint Optimization of Nanophotonic Devices Using B-spline Surfaces
Erfan Khoram, Xiaoping Qian, Ming Yuan +1
Adjoint optimization is an effective method in the inverse design of nanophotonic devices. In order to ensure the manufacturability, one would like to have control over the minimal…
physics.optics2018
Nanophotonic Media for Artificial Neural Inference
Erfan Khoram, Ang Chen, Dianjing Liu +4
We show optical waves passing through a nanophotonic medium can perform artificial neural computing. Complex information, is encoded in the wave front of an input light. The medium…
physics.optics2017
Training deep neural networks for the inverse design of nanophotonic structures
Dianjing Liu, Yixuan Tan, Erfan Khoram +1
Data inconsistency leads to a slow training process when deep neural networks are used for the inverse design of photonic devices, an issue that arises from the fundamental propert…