most citedHybrid Supervised and Reinforcement Learning for the Design and Optimization of Nanophotonic Structures

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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…