78 citations · 126 across the 5 of their papers we have counts for
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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…