Impact Factor2.5

DOI number:10.1016/j.optcom.2025.131958

Affiliation of Author(s):西北大学电子信息学院

Teaching and Research Group:电子科学与技术系

Journal:Optics Communications

Place of Publication:Netherlands

Funded by:国际科技合作项目

Key Words:Behavior regulation; Comprehensive optimization; Electric field loss;Machine learning (ML); Metamaterial absorber; Multiple narrowband absorption

Abstract:Graphene, with its tunable properties and high optical response characteristics, has a wide range of applications in the development of metamaterial absorbers: it is frequently employed as a substitute for the periodic metal structure of conventional metamaterial devices, or utilized as an intermediate layer to composite with the devices. However, precise control over absorption performance within specific narrowbands and the optimization of multi-peak absorption intensity remain key challenges. In this study, a machine learning approach is integrated into the device design process to develop a multilayer heterogeneous composite metamaterial absorber based on graphene, effectively addressing these issues. By combining a patterned metal layer, a graphene thin film layer, and a metal enhancement layer with two dielectric layers and a metallic ground plane, multi-narrowband resonance is successfully achieved. Firstly, machine learning supervision is utilized to effectively control the device's multi-narrowband absorption behaviors within the 0.5–1.2 THz frequency range, leading to the realization of double-peak, triple-peak, and quadruple-peak multi-narrowband absorption behaviors, respectively. Then, leveraging the predictive capabilities of the machine learning model, the structural parameters of the device are tuned to achieve comprehensive optimization of its multi-narrowband absorption performance. As a result, the absorption performance across multiple frequency ranges exceeds 90 %. This method avoids the traditional trial-and-error optimization and provides a scalable design framework for customized multi-narrow band high-performance terahertz absorber.

Indexed by:Journal paper

Discipline:Engineering

First-Level Discipline:Electronic Science and Techonology

Document Type:J

Issue:587

Page Number:131958

Translation or Not:no

Date of Publication:2024-12-14

Included Journals:SCI

Links to published journals:https://www.sciencedirect.com/science/article/abs/pii/S0030401825004869?via%3Dihub

First Author:Jiaxuan Xue

Correspondence Author:Cheng Chen*

All the Authors:Shilei Tian

All the Authors:Huiyao Zhang

All the Authors:Jixin Wang

All the Authors:Wu Zhao

All the Authors:Zhiyong Zhang

All the Authors:Johan Stiens