Jieling Liu, Changjin Mo, Yutong Wu, Jihui He, Xian Wang, Tao Wang, Rongzhou Gong, Yan Nie
{"title":"One-step construction of low-dimensional hybrid carbon networks embedded with magnetic Fe nanoparticles for efficient microwave absorption","authors":"Jieling Liu, Changjin Mo, Yutong Wu, Jihui He, Xian Wang, Tao Wang, Rongzhou Gong, Yan Nie","doi":"10.1016/j.apsusc.2025.163342","DOIUrl":null,"url":null,"abstract":"Low-dimensional hybrid carbon networks with high electrical conductivity and low density are essential for designing lightweight and efficient microwave absorbing materials (MAMs). In this study, low-dimensional hybrid carbon networks with tailorable electromagnetic properties were successfully fabricated by a one-step method. These networks consist of (i) magnetic Fe nanoparticle-embedded, two-dimensional (2D) carbon lamellar structure and (ii) intertwined one-dimensional (1D) carbon nanotubes grown on the structure. These 1D-2D hybrid networks exhibit excellent electron transport, enhanced interfacial polarization, multiple loss mechanisms, and improved impedance matching. Consequently, they significantly boost MAM performance. With a 30 wt% absorbent filling fraction, the material achieves a reflection loss of less than − 10 dB across a frequency range of 5.0 GHz in the Ku band, with a matching thickness of only 1.67 mm. By tuning absorber thickness from 1.0 to 5.0 mm, the effective absorption bandwidth can reach up to 14.3 GHz, covering 89 % of the frequency range measured, and achieving a bandwidth of 10.0 GHz with 99 % absorption intensity. These results underscore a simple and effective strategy to construct low-dimensional hybrid carbon networks having tunable electromagnetic properties, that offers a promising pathway for the design of lightweight, broadband and efficient MAMs.","PeriodicalId":247,"journal":{"name":"Applied Surface Science","volume":"16 1","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Surface Science","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1016/j.apsusc.2025.163342","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Low-dimensional hybrid carbon networks with high electrical conductivity and low density are essential for designing lightweight and efficient microwave absorbing materials (MAMs). In this study, low-dimensional hybrid carbon networks with tailorable electromagnetic properties were successfully fabricated by a one-step method. These networks consist of (i) magnetic Fe nanoparticle-embedded, two-dimensional (2D) carbon lamellar structure and (ii) intertwined one-dimensional (1D) carbon nanotubes grown on the structure. These 1D-2D hybrid networks exhibit excellent electron transport, enhanced interfacial polarization, multiple loss mechanisms, and improved impedance matching. Consequently, they significantly boost MAM performance. With a 30 wt% absorbent filling fraction, the material achieves a reflection loss of less than − 10 dB across a frequency range of 5.0 GHz in the Ku band, with a matching thickness of only 1.67 mm. By tuning absorber thickness from 1.0 to 5.0 mm, the effective absorption bandwidth can reach up to 14.3 GHz, covering 89 % of the frequency range measured, and achieving a bandwidth of 10.0 GHz with 99 % absorption intensity. These results underscore a simple and effective strategy to construct low-dimensional hybrid carbon networks having tunable electromagnetic properties, that offers a promising pathway for the design of lightweight, broadband and efficient MAMs.
期刊介绍:
Applied Surface Science covers topics contributing to a better understanding of surfaces, interfaces, nanostructures and their applications. The journal is concerned with scientific research on the atomic and molecular level of material properties determined with specific surface analytical techniques and/or computational methods, as well as the processing of such structures.