Christopher Yeung

发表

Enhancing Adjoint Optimization-Based Photonic Inverse Design with Explainable Machine Learning

A. Raman, Katherine T Fountaine, Christopher Yeung, 2021, ACS Photonics.

Temporal Coupled-Mode Theory for Thermal Emission from Multiple Arbitrarily Coupled Resonators

A. Raman, Christopher Yeung, Xin Huang, 2022, Physical Review Applied.

Hybrid Supervised and Reinforcement Learning for the Design and Optimization of Nanophotonic Structures

A. Raman, Katherine T Fountaine, Christopher Yeung, 2022, Optics express.

Elucidating the Behavior of Nanophotonic Structures through Explainable Machine Learning Algorithms

A. Raman, M. Knight, Christopher Yeung, 2020, ACS Photonics.

Global Inverse Design across Multiple Photonic Structure Classes Using Generative Deep Learning

A. Raman, M. Knight, Christopher Yeung, 2020, Advanced Optical Materials.

Multiplexed supercell metasurface design and optimization with tandem residual networks

Christopher Yeung, Ju-Ming Tsai, Brian King, 2020, Nanophotonics.

Designing Multiplexed Supercell Metasurfaces with Tandem Neural Networks

Christopher Yeung, Ju-Ming Tsai, Brian King, 2020 .

DeepAdjoint: An All-in-One Photonic Inverse Design Framework Integrating Data-Driven Machine Learning with Optimization Algorithms

A. Raman, Katherine T Fountaine, Christopher Yeung, 2022, ACS Photonics.

Conditional Machine Learning-Based Inverse Design Across Multiple Classes of Nanophotonic Structures

Aaswath Raman, Benjamin Pham, Yusaku Kawagoe, 2021, 2021 Conference on Lasers and Electro-Optics (CLEO).

Limits on Thermal Emission from Multiple Coupled Resonators

A. Raman, Christopher Yeung, Xin Huang, 2020 .

Elucidating the Design and Behavior of Nanophotonic Structures through Explainable Convolutional Neural Networks

Brian King, Christopher Yeung, Ju-Ming Tsai, 2020, 2003.06075.