Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Machine-learning-assisted topology optimization for highly efficient thermal emitter design

Not Accessible

Your library or personal account may give you access

Abstract

We coupled generative adversarial network with topology optimization for efficient thermal emitter design development. The proposed method can generate highly efficient metasurface designs with a non-trivial topology for efficient spectral control of thermal blackbody radiation.

© 2019 The Author(s)

PDF Article
More Like This
Machine-Learning-Assisted Topology Optimization for Refractory Photonics

Zhaxylyk Kudyshev, Alexander V. Kildishev, Vladimir M. Shalaev, and Alexandra Boltasseva
IW2A.2 Integrated Photonics Research, Silicon and Nanophotonics (IPRSN) 2019

High efficiency metasurface design based on deep generative models

Jiaqi Jiang, David Sell, and Jonathan A. Fan
IW1A.5 Integrated Photonics Research, Silicon and Nanophotonics (IPRSN) 2019

Ring-Core-Fiber Optimization Assisted by Machine Learning Algorithms

Chumin Shi, Jingkun Ning, Shuqi Mo, Sihao Liang, Yiyang Luo, Zhuofeng Luo, Junwei Zhang, Jie Liu, and Siyuan Yu
M4A.150 Asia Communications and Photonics Conference (ACPC) 2019

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2023 | Optica Publishing Group. All Rights Reserved