论文成果
Control and optimization of absorbing behavior in graphene-based multiple narrowband metamaterial absorber by machine learning
点击次数:
影响因子:2.5
DOI码:10.1016/j.optcom.2025.131958
所属单位:西北大学电子信息学院
教研室:电子科学与技术系
发表刊物:Optics Communications
刊物所在地:Netherlands
项目来源:国际科技合作项目
关键字:Behavior regulation; Comprehensive optimization; Electric field loss;Machine learning (ML); Metamaterial absorber; Multiple narrowband absorption
摘要: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.
论文类型:期刊论文
学科门类:工学
一级学科:电子科学与技术
文献类型:J
期号:587
页面范围:131958
是否译文:
收录刊物:SCI
发布期刊链接:https://www.sciencedirect.com/science/article/abs/pii/S0030401825004869?via%3Dihub
第一作者:Jiaxuan Xue
通讯作者:Cheng Chen*
合写作者:Shilei Tian
合写作者:Huiyao Zhang
合写作者:Jixin Wang
合写作者:Wu Zhao
合写作者:Zhiyong Zhang
合写作者:Johan Stiens

陈诚

副教授 硕士生导师

教师姓名:陈诚

教师拼音名称:chen cheng

电子邮箱:

入职时间:2021-05-17

所在单位:电子信息学院

职务:电子科学与技术系 系主任

学历:博士研究生毕业

办公地点:西北大学长安校区信息楼205室

联系方式:QQ:512569826

学位:双学位

职称:副教授

在职信息:在职

主要任职:西北大学电子信息学院(人工智能学院)

其他任职:布鲁塞尔自由大学(VUB)客座博士后研究员;喀什大学物理与电气工程学院客座教授

毕业院校:西北大学/荷语布鲁塞尔自由大学

硕士生导师

学科:电路与系统. 微电子学与固体电子学

学科: 电路与系统 微电子学与固体电子学

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