Probabilistic inverse design of metasurfaces using mixture density neural networks

Probabilistic inverse design of metasurfaces using mixture density neural networks

Metasurfaces are planar sub-micron structures that can outperform traditional optical elements and miniaturize optical devices. Optimization-based inverse designs of metasurfaces often get trapped in a local minimum, and the inherent non-uniqueness property of the inverse problem plagues approaches...

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Bibliographic Details
Main Authors: Mahsa Torfeh, Chia Wei Hsu
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:JPhys Photonics
Subjects:
Nanophotonics
metasurface
inverse design
deep neural network
mixture density network
structured light
Online Access:https://doi.org/10.1088/2515-7647/ad9b82
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https://doi.org/10.1088/2515-7647/ad9b82

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