(Peer-Reviewed) Influence of N-doping on dielectric properties of carbon-coated copper nanocomposites in the microwave and terahertz ranges
Feirong Huang 黄斐荣 ¹, Shuting Fan 范姝婷 ², Yuqi Tian 田雨祁 ¹, Xinghao Qu 曲星昊 ¹, Xiyang Li 李夕阳 ¹, Maofan Qin 秦茂繁 ¹, Javid Muhammad ¹, Xuefeng Zhang 张雪峰 ³, Zhidong Zhang 张志东 ⁴, Xinglong Dong 董星龙 ¹
¹ Key Laboratory of Materials Modification by Laser, Ion and Electron Beams (Ministry of Education), School of Materials Science and Engineering, Dalian University of Technology, Dalian, 116024, China
中国 大连 大连理工大学 材料科学与工程学院 三束材料改性教育部重点实验室
² College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China
深圳大学 物理与光电工程学院
³ Institute of Advanced Magnetic Materials, College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou, 110819, China
中国 杭州 杭州电子科技大学 材料与环境工程学院 磁性材料研究院
⁴ Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang, 110015, China
中国 沈阳 中国科学院金属研究所 沈阳材料科学国家（联合）实验室
Abstract
Carbon-coated Cu nanocomposites (Cu@C NCs) consisting of core-shell nanoparticles and nanorods were synthesized by arc discharge plasma under an atmosphere of He and H2 gas, and the N-doping of them was achieved by a post-treatment process using ureal as the precursor. The concentration of N in the N-doped samples varies in the range of 0.62%–2.31 % (in mole), with a transformation from pyrrolic N to graphitic N when increasing the relative content of ureal.
Dielectric properties of the NCs without or with N-doping in the microwave and THz bands were investigated. The N-doped samples achieve the enhanced dielectric loss in both microwave and THz bands. In the microwave band, dielectric loss was dominated by interfacial polarization, dipolar polarization, and conduction loss, while in the THz band, plasma resonance, ionic polarization and conduction loss are responsible for the dielectric loss, with a strong absorption characteristic dominated by conductive effect.
Separation and identification of mixed signal for distributed acoustic sensor using deep learning
Huaxin Gu, Jingming Zhang, Xingwei Chen, Feihong Yu, Deyu Xu, Shuaiqi Liu, Weihao Lin, Xiaobing Shi, Zixing Huang, Xiongji Yang, Qingchang Hu, Liyang Shao
Opto-Electronic Advances
2025-11-25
