Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects

Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects

Nanophotonics, which explores significant light–matter interactions at the nanoscale, has facilitated significant advancements across numerous research fields. A key objective in this area is the design of ultra-compact, high-performance nanophotonic devices to pave the way for next-generation photo...

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Bibliographic Details
Main Authors: Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza
Format: Article
Language:English
Published: De Gruyter 2025-01-01
Series:Nanophotonics
Subjects:
nanophotonics
silicon photonics
inverse design
optimization
artificial intelligence
deep learning
Online Access:https://doi.org/10.1515/nanoph-2024-0536
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https://doi.org/10.1515/nanoph-2024-0536

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