Adjoint method in machine learning: A pathway to efficient inverse design of photonic devices-Reference-Cited by-同舟云学术

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Adjoint method in machine learning: A pathway to efficient inverse design of photonic devices

Published:2024-03 Issue: Volume:239 Page:112737
ISSN:0264-1275
Container-title:Materials & Design
language:en
Short-container-title:Materials & Design

Author:

Kang Chanik^ORCID,Seo Dongjin,Boriskina Svetlana V.^ORCID,Chung Haejun^ORCID

Funder

National Research Foundation of Korea

Institute for Information Communication Technology Planning and Evaluation

Korea Semiconductor Research Consortium

Korea Ministry of Trade Industry and Energy

Publisher

Elsevier BV

Reference120 articles.

1. Nanophotonics for light detection and ranging technology;Kim;Nat. Nanotechnol.,2021

2. A progress review on solid-state lidar and nanophotonics-based lidar sensors;Li;Laser Photonics Rev.,2022

3. Metasurface-enhanced light detection and ranging technology;Juliano Martins;Nat. Commun.,2022

4. Optical communication in space: challenges and mitigation techniques;Kaushal;IEEE Commun. Surv. Tutor.,2016

5. Survey on free space optical communication: a communication theory perspective;Khalighi;IEEE Commun. Surv. Tutor.,2014

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1. Revolutionary Integration of Artificial Intelligence with Meta-Optics-Focus on Metalenses for Imaging;Technologies;2024-08-28

2. Inverse design of color routers in CMOS image sensors: toward minimizing interpixel crosstalk;Nanophotonics;2024-07-01

3. Large-scale photonic inverse design: computational challenges and breakthroughs;Nanophotonics;2024-06-07

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