1 citations · 1 across the 4 of their papers we have counts for
4 papers
Optical Neural Engine for Solving Scientific Partial Differential Equations
Yingheng Tang, Ruiyang Chen, Minhan Lou +5
Solving partial differential equations (PDEs) is the cornerstone of scientific research and development. Data-driven machine learning (ML) approaches are emerging to accelerate tim…
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…
Physics-aware Roughness Optimization for Diffractive Optical Neural Networks
Shanglin Zhou, Yingjie Li, Minhan Lou +4
As a representative next-generation device/circuit technology beyond CMOS, diffractive optical neural networks (DONNs) have shown promising advantages over conventional deep neural…
Controlled synthetic chirality in macroscopic assemblies of carbon nanotubes
Jacques Doumani, Minhan Lou, Oliver Dewey +9
There is an emerging recognition that successful utilization of chiral degrees of freedom can bring new scientific and technological opportunities to diverse research areas. Hence,…