Design of an ultra-broadband terahertz absorber based on a patterned graphene metasurface with machine learning-Reference-Cited by-同舟云学术

Design of an ultra-broadband terahertz absorber based on a patterned graphene metasurface with machine learning

Published:2023 Issue:17 Volume:11 Page:5625-5633
ISSN:2050-7526
Container-title:Journal of Materials Chemistry C
language:en
Short-container-title:J. Mater. Chem. C

Author:

Ding Zhipeng¹,Su Wei¹²^ORCID,Luo Yinlong¹,Ye Lipengan¹,Wu Hong³,Yao Hongbing¹

Affiliation:

1. College of Science, Hohai University, Nanjing, 210098, China

2. Research Institute of Ocean and Offshore Engineering, Hohai University, Nantong, 226300, China

3. School of Science, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

Abstract

Utilizes machine learning to propose an absorption bandwidth and structural parameters prediction approach for the design of patterned graphene metasurface absorber, which provides a new direction for the precision design of optical devices.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/TC/D3TC00102D

Reference61 articles.

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4. Generating Dual-Polarized Vortex Beam by Detour Phase: From Phase Gradient Metasurfaces to Metagratings

5. Electrically Tunable Metasurface with Independent Frequency and Amplitude Modulations

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