activity
20172025
most citedEnhancing Adjoint Optimization-based Photonics Inverse Design with Explainable Machine Learning

44 citations · 46 across the 4 of their papers we have counts for

collaborators

6 papers

physics.optics2025★ 1 cited

Design of Macroscale Optical Systems with Metaoptics Using Transformer-Based Neural Networks

Ryan C. Ng, Stéphane Larouche, Peter Y. Schneider +4

Metaoptics are thin, planar surfaces consisting of many subwavelength optical resonators that can be designed to simultaneously control the amplitude, phase, and polarization to ar…

eess.SP2022

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

Christopher Yeung, Benjamin Pham, Ryan Tsai +2

In recent years, hybrid design strategies combining machine learning (ML) with electromagnetic optimization algorithms have emerged as a new paradigm for the inverse design of phot…

cs.LG2022★ 1 cited

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

Christopher Yeung, Benjamin Pham, Zihan Zhang +2

From higher computational efficiency to enabling the discovery of novel and complex structures, deep learning has emerged as a powerful framework for the design and optimization of…

physics.optics2021★ 44 cited

Enhancing Adjoint Optimization-based Photonics Inverse Design with Explainable Machine Learning

Christopher Yeung, David Ho, Benjamin Pham +2

A fundamental challenge in the design of photonic devices, and electromagnetic structures more generally, is the optimization of their overall architecture to achieve a desired res…

cs.LG2018

Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes

Jialin Song, Yury S. Tokpanov, Yuxin Chen +4

We apply numerical methods in combination with finite-difference-time-domain (FDTD) simulations to optimize transmission properties of plasmonic mirror color filters using a multi-…

cond-mat.mes-hall2017

Experimental Demonstration of >230° Phase Modulation in Gate-Tunable Graphene-Gold Reconfigurable Mid-Infrared Metasurfaces

Michelle C. Sherrott, Philip W. C. Hon, Katherine T. Fountaine +5

Metasurfaces offer significant potential to control far-field light propagation through the engineering of amplitude, polarization, and phase at an interface. We report here phase…