100 citations · 225 across the 4 of their papers we have counts for
4 papers
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…
Global Inverse Design Across Multiple Photonic Structure Classes Using Generative Deep Learning
Christopher Yeung, Ryan Tsai, Benjamin Pham +6
Understanding how nano- or micro-scale structures and material properties can be optimally configured to attain specific functionalities remains a fundamental challenge. Photonic m…
Multiplexed Supercell Metasurface Design and Optimization with Tandem Residual Networks
Christopher Yeung, Ju-Ming Tsai, Brian King +5
Complex nanophotonic structures hold the potential to deliver exquisitely tailored optical responses for a range of applications. Metal-insulator-metal (MIM) metasurfaces arranged…
Elucidating the Behavior of Nanophotonic Structures Through Explainable Machine Learning Algorithms
Christopher Yeung, Ju-Ming Tsai, Brian King +3
A central challenge in the development of nanophotonic structures is identifying the optimal design for a target functionality, and understanding the physical mechanisms that enabl…