Deep Neural Networks for Inverse Design of Nanophotonic Devices-Reference-Cited by-同舟云学术

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Deep Neural Networks for Inverse Design of Nanophotonic Devices

Published:2021-02-15 Issue:4 Volume:39 Page:1010-1019
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Kojima Keisuke^ORCID,Tahersima Mohammad H.^ORCID,Koike-Akino Toshiaki^ORCID,Jha Devesh K.,Tang Yingheng,Wang Ye^ORCID,Parsons Kieran^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/9348993/09316743.pdf?arnumber=9316743

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid deep learning for design of nanophotonic quantum emitter lenses;Nano Express;2024-08-23

2. Integrating the strengths of cVAE and cGAN into cAAE for advanced inverse design of colloidal quantum dots;Journal of the Korean Physical Society;2024-06-24

3. Deep learning methods for solving non-uniqueness of inverse design in photonics;Optics Communications;2024-03

4. Bidirectional Design for SPR-Photonic Crystal Fiber Magnetic Field Sensor Based on Deep Learning;IEEE Sensors Journal;2024-02-01

5. Inverse design of high efficiency and large bandwidth power splitter for arbitrary power ratio based on deep residual network;Optical and Quantum Electronics;2024-01-30

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