27 citations · 27 across the 2 of their papers we have counts for
Showing physics.opticsShow all
2 papers · 1 filter
physics.optics2025
Inverse-designed nanophotonic neural network accelerators for ultra-compact optical computing
Joel Sved, Shijie Song, Liwei Li +3
Inverse-designed nanophotonic devices offer promising solutions for analog optical computation. High-density photonic integration is critical for scaling such architectures toward…
physics.optics2022★ 27 cited
Inverse design of nano-photonic wavelength demultiplexer with a deep neural network approach
Mengwei Yuan, Gang Yang, Shijie Song +3
In this paper, we propose a pre-trained-combined neural network (PTCN) as a comprehensive solution to the inverse design of an integrated photonic circuit. By utilizing both the in…