A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design-Reference-Cited by-同舟云学术

A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design

Published:2019-11-18 Issue:12 Volume:6 Page:3196-3207
ISSN:2330-4022
Container-title:ACS Photonics
language:en
Short-container-title:ACS Photonics

Author:

An Sensong¹^ORCID,Fowler Clayton¹,Zheng Bowen¹,Shalaginov Mikhail Y.²,Tang Hong¹,Li Hang¹,Zhou Li¹,Ding Jun³,Agarwal Anuradha Murthy²,Rivero-Baleine Clara⁴,Richardson Kathleen A.⁵,Gu Tian²,Hu Juejun²,Zhang Hualiang¹

Affiliation:

1. Department of Electrical & Computer Engineering, University of Massachusetts Lowell, Lowell, Massachusetts 01854, United States

2. Department of Materials Science & Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States

3. Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200062, China

4. Lockheed Martin Corporation, Orlando, Florida 32819, United States

5. CREOL, University of Central Florida, Orlando, Florida 32816, United States

Funder

Defense Advanced Research Projects Agency

Publisher

American Chemical Society (ACS)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Biotechnology,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acsphotonics.9b00966

Reference37 articles.

1. An, S.; Ding, J.; Zheng, B.; Lin, Y.; Zhang, W.; Zhang, H. In Quad-Wavelength Multi-Focusing Lenses with Dual-Wavelength Meta-Atoms, CLEO: Science and Innovations; Optical Society of America, 2017; p JW2A. 104.

2. Simultaneous Realization of Anomalous Reflection and Transmission at Two Frequencies using Bi-functional Metasurfaces

3. All-dielectric metamaterials

Cited by 256 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. Polarization-controlled metasurface design based on deep ResNet;Optics & Laser Technology;2024-12

2. An AI-assisted terahertz reconfigurable metamaterial in standard 180-nm CMOS;Optics Communications;2024-11

3. Ultra-fast and accurate force spectrum prediction and inverse design of light-driven microstructure by deep learning;Optics Express;2024-09-10

4. On-Demand Design of Metasurfaces through Multineural Network Fusion;ACS Applied Materials & Interfaces;2024-09-04

5. AI for optical metasurface;npj Nanophotonics;2024-09-02