介电常数
反射系数
材料科学
雷达
薄膜
宽带
超材料
反射(计算机编程)
遗传算法
计算机科学
算法
光电子学
电子工程
光学
物理
电信
工程类
电介质
纳米技术
机器学习
程序设计语言
作者
Sunny S. Zhang,Magdy F. Iskander,Zhengqing Yun,Edmond Chong,Yuanzhang Xiao,Matthew Nakamura,Joseph J. Brown,Ben Jones
标识
DOI:10.23919/usnc-ursinrsm57470.2023.10043146
摘要
The growing demand for novel smart and enabling metamaterial designs and semiconductor devices in health, energy, communication, and automatic industries requires designs of material with “thin” features. For broadband complex permittivity measurements using open-ended coaxial probe (OECP), thin sample measurements present significant challenges since a large amount of power may go through the sample making the measured reflection coefficient values unreliable. In this paper, a new approach for accurate measurement of thin material properties is developed. It employs genetic algorithm (GA) and full-wave numerical simulations to find the complex permittivity to match the measured reflection coefficients. The complex permittivity values for several thin samples of known materials are obtained using our approach. Challenges in measuring nanolayers of graphene samples will be described and an effective measurement approach will be discussed.
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