Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > IPRSN > 2019 > IW2A > IW2A.2
  • OSA Advanced Photonics Congress (AP) 2019 (IPR, Networks, NOMA, SPPCom, PVLED)
  • OSA Technical Digest (Optica Publishing Group, 2019),
  • paper IW2A.2

Machine-Learning-Assisted Topology Optimization for Refractory Photonics

Zhaxylyk Kudyshev, Alexander V. Kildishev, Vladimir M. Shalaev, and Alexandra Boltasseva

Not Accessible

Your library or personal account may give you access

Abstract

We expand a conventional metasurface design methodology to a global optimization space by advancing topology optimization via artificial-intelligence-assisted algorithms and tailorable materials platforms. We apply the developed approach to design efficient refractory photonics for thermophotovoltaics.

© 2019 The Author(s)

PDF Article
More Like This
Machine-learning-assisted topology optimization for highly efficient thermal emitter design

Zhaxylyk A. Kudyshev, Alexander V. Kildishev, Vladimir M. Shalaev, and Alexandra Boltasseva
FTh3C.2 CLEO: QELS_Fundamental Science (CLEO:FS) 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 (ACP) 2019

Machine Learning Assisted Quantum Photonics

Zhaxylyk Kudyshev, Simeon Bogdanov, Theodor Isacsson, Alexander V. Kildishev, Alexandra Boltasseva, and Vladimir M. Shalaev
QM6B.3 Quantum 2.0 (QUANTUM) 2020

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use