activity
20132024
most citedCollective, Coherent, and Ultrastrong Coupling of 2D Electrons with Terahertz Cavity Photons

220 citations · 225 across the 8 of their papers we have counts for

collaborators

8 papers

physics.optics2024

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…

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.AR2023★ 1 cited

LightRidge: An End-to-end Agile Design Framework for Diffractive Optical Neural Networks

Yingjie Li, Ruiyang Chen, Minhan Lou +3

To lower the barrier to diffractive optical neural networks (DONNs) design, exploration, and deployment, we propose LightRidge, the first end-to-end optical ML compilation framewor…

cs.LG2023★ 1 cited

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…

physics.optics2023

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,…

cs.ET2022★ 1 cited

Physics-aware Complex-valued Adversarial Machine Learning in Reconfigurable Diffractive All-optical Neural Network

Ruiyang Chen, Yingjie Li, Minhan Lou +5

Diffractive optical neural networks have shown promising advantages over electronic circuits for accelerating modern machine learning (ML) algorithms. However, it is challenging to…

cond-mat.quant-gas2016★ 220 cited

Collective, Coherent, and Ultrastrong Coupling of 2D Electrons with Terahertz Cavity Photons

Qi Zhang, Minhan Lou, Xinwei Li +5

Nonperturbative coupling of light with condensed matter in an optical cavity is expected to reveal a host of coherent many-body phenomena and states. In addition, strong coherent l…

cond-mat.mes-hall2013★ 2 cited

Light Trapping in Thin Film Disordered Nanohole Patterns: Effects of Oblique Incidence and Intrinsic Absorption

Minhan Lou, Hua Bao, Changying Zhao

Finite-difference time-domain method is employed to investigate the optical properties of semiconductor thin films patterned with circular holes. The presence of holes enhances the…