100 citations · 232 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…
Temporal coupled-mode theory for thermal emission from multiple arbitrarily coupled resonators
Xin Huang, Christopher Yeung, Aaswath P. Raman
Controlling the spectral response of thermal emitters has become increasingly important for a range of energy and sensing applications. Conventional approaches to achieving arbitra…