3 papers
physics.optics2024
Digitized Phase Change Material Heterostack for Diffractive Optical Neural Network
Ruiyang Chen, Cunxi Yu, Weilu Gao
All-optical and fully reconfigurable diffractive optical neural network (DONN) architectures are promising for high-throughput and energy-efficient machine learning (ML) hardware a…
physics.optics2024
A programmable wafer-scale chiroptical heterostructure of twisted aligned carbon nanotubes and phase change materials
Jichao Fan, Ruiyang Chen, Minhan Lou +4
The ability to design and dynamically control chiroptical responses in solid-state matter at wafer scale enables new opportunities in various areas. Here we present a full stack of…
cs.LG2023
Scientific Computing with Diffractive Optical Neural Networks
Ruiyang Chen, Yingheng Tang, Jianzhu Ma +1
Diffractive optical neural networks (DONNs) have been emerging as a high-throughput and energy-efficient hardware platform to perform all-optical machine learning (ML) in machine v…