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Kirkendall effect-assisted electrospinning porous FeCo/Zn@C nanofibers featuring well-dispersed FeCo nanoparticles for ultra-wide electromagnetic wave absorption

  • Qi-Hui Sun,
  • Hao-Cheng Zhai,
  • Yi-Fan Liu,
  • Chun-Sheng Li,
  • Jun-Wei Wang,
  • Xian Jian,
  • Nasir Mahmood

摘要

Abstract

Ultra-wide absorption band and flexibility are needed in multi-scenario applications, however, current electromagnetic wave absorption materials (EMWAMs) are not capable enough to deliver due to rigid structure. Here, we have designed a porous flexible mat composed of Zn-doped carbon (Zn@C) nanofibers (NFs) having encapsulated uniformly dispersed FeCo nanoparticles (NPs) (FeCo/Zn@C) as ultra-wideband absorber. During the electrospinning, the Fe3+, Co2+ and Zn2+ are uniformly immobilized within the NFs nanocrystallization process. Subsequently, the Kirkendall effect is deployed to trigger the generation of FeCo NPs and porous framework under thermal annealing. The FeCo/Zn@C NFs effectively favor magnetic-dielectric synergies due to the coexistence of magnetic FeCo NPs and dielectric carbon components. One-dimensional porous fiber prolongs the attenuation path and enhances multi-scattering and reflection. While the FeCo NPs encapsulated in Zn-doped carbon NFs provide abundant dipole and interfacial polarization. These favorable factors synergistically enhance absorption performance, resulting in a reflection loss value of − 71.58 dB. Moreover, by varying the thickness of absorbers, effective absorption bandwidth spans from 4.26 to 18.00 GHz. Hence, this work offers innovative insights for fabricating advanced EMWAMs.

摘要

超宽吸收带和柔韧性在多场景应用中被需要,但目前的电磁波吸收材料由于固有的硬性结构而无法实现。在这里,我们设计了由锌掺杂碳(Zn@C)纳米纤维组成的多孔柔性垫,其封装均匀分散的FeCo纳米颗粒(FeCo/Zn@C)作为超宽带吸收剂。在静电纺丝过程中,Fe3+、Co2+和Zn2+在纳米晶化过程中被均匀固定。随后,在热退火条件下,利用柯肯达尔效应触发FeCo纳米颗粒和多孔骨架的生成。FeCo/Zn@C纳米纤维由于磁性FeCo纳米颗粒和介电特性的碳组分共存而有效地促进了磁-介电协同作用。一维多孔纤维延长了衰减路径,增强了多次散射和反射。包裹在锌掺杂碳纤维中的FeCo纳米颗粒则提供了丰富的偶极子和界面极化。这些有利因素协同提高了电磁波吸收性能,导致反射损耗值为-71.58 dB。此外,通过调节吸收层的厚度,有效吸收带宽在4.26–18.00 GHz之间。因此,这项工作为制造先进的电磁波吸收材料提供了创新的见解。

Graphical abstract