3D Honeycomb Fe/MXene Derived from Prussian Blue Microcubes with a Tunable Structure for Efficient Low-Frequency and Flexible Electromagnetic Absorbers
Source abstract
Abstract
The unique layered structure and high conductivity of MXene materials make them highly promising for microwave absorption. However, the finite loss mechanism and severe agglomeration present challenging obstacles for ideal microwave absorbers, which could be effectively improved by constructing a three-dimensional (3D) porous structure. This study reports a 3D honeycomb MXene using a straightforward template method. The 3D MXene framework offers ample cavities to anchor the Prussian blue microcubes and their derivatives including Fe microboxes and Fe clusters by a simple annealing process. Based on the superiority of the 3D honeycomb architecture and magnetic-dielectric synergistic effects, the Fe/MXene absorbers demonstrate outstanding microwave absorption capabilities with the optimum reflection loss value of -40.3 dB at 2.00 mm in the low-frequency range from 4.2 to 5.6 GHz. The absorber also manifests superior radar wave attenuation by finite element analysis and exhibits great potential to be a flexible and thermal insulation material in a wide range of temperatures. This work proposes a useful reference for the design of 3D MXene-based porous architectures, and the synergistic magnetic-dielectric strategy further expands the potential of MXene-based absorbers, enabling them to be used as flexible and highly efficient microwave absorbers.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electromagnetic wave absorption materials · Advanced Antenna and Metasurface Technologies · Metamaterials and Metasurfaces Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo 255049, China
School of Civil Engineering, Qingdao University of Technology, Qingdao 266525, China
College of Intelligent Manufacturing, Zibo Vocational Institute, Zibo 255314, China
Funding
National Natural Science Foundation of China · Natural Science Foundation of Shandong Province · Key Research and Development Program of Zibo City
References (49)
Show source-provided references
1. 10.1002/anie.20220132310.1002/anie.202201323 ↗
2. 10.1016/j.cej.2022.13727910.1016/j.cej.2022.137279 ↗
3. 10.1021/acs.inorgchem.1c0374910.1021/acs.inorgchem.1c03749 ↗
4. 10.1016/j.coco.2021.10065310.1016/j.coco.2021.100653 ↗
5. 10.1016/j.pmatsci.2023.10108810.1016/j.pmatsci.2023.101088 ↗
6. 10.1002/advs.20210555310.1002/advs.202105553 ↗
7. 10.1002/adfm.20221422310.1002/adfm.202214223 ↗
8. 10.1021/acsami.1c0500710.1021/acsami.1c05007 ↗
9. 10.1016/j.mtphys.2022.10096210.1016/j.mtphys.2022.100962 ↗
10. 10.1016/j.cej.2022.14120510.1016/j.cej.2022.141205 ↗
11. 10.1039/C7TC01502J10.1039/C7TC01502J ↗
12. 10.1016/j.carbon.2022.03.02910.1016/j.carbon.2022.03.029 ↗
13. 10.1016/j.cej.2022.13948310.1016/j.cej.2022.139483 ↗
14. 10.1021/ja307475c10.1021/ja307475c ↗
15. 10.1016/j.jmst.2021.11.02910.1016/j.jmst.2021.11.029 ↗
16. 10.1021/acsnano.2c0867810.1021/acsnano.2c08678 ↗
17. 10.1021/acsnano.0c0131210.1021/acsnano.0c01312 ↗
18. 10.1016/j.cej.2019.04.17410.1016/j.cej.2019.04.174 ↗
19. 10.1002/adma.20170634310.1002/adma.201706343 ↗
20. 10.1016/j.apsusc.2018.03.22510.1016/j.apsusc.2018.03.225 ↗
21. 10.1016/j.carbon.2020.10.03910.1016/j.carbon.2020.10.039 ↗
22. 10.1016/j.mseb.2022.11572110.1016/j.mseb.2022.115721 ↗
23. 10.1002/smll.20180247910.1002/smll.201802479 ↗
24. 10.1016/j.carbon.2020.11.08910.1016/j.carbon.2020.11.089 ↗
25. 10.1016/j.cej.2022.14027710.1016/j.cej.2022.140277 ↗
26. 10.1007/s40820-021-00727-y10.1007/s40820-021-00727-y ↗
27. 10.1021/acsnano.1c0895710.1021/acsnano.1c08957 ↗
28. 10.1016/j.jallcom.2020.15425110.1016/j.jallcom.2020.154251 ↗
29. 10.1007/s40820-022-00853-110.1007/s40820-022-00853-1 ↗
30. 10.1016/j.apcatb.2022.12200910.1016/j.apcatb.2022.122009 ↗
31. 10.1016/j.molstruc.2023.13521610.1016/j.molstruc.2023.135216 ↗
32. 10.1016/j.physb.2021.41351010.1016/j.physb.2021.413510 ↗
33. 10.1016/j.susmat.2020.e0015310.1016/j.susmat.2020.e00153 ↗
34. 10.1021/acsmaterialslett.2c0077810.1021/acsmaterialslett.2c00778 ↗
35. 10.1039/D1EE02222A10.1039/D1EE02222A ↗
36. 10.1039/C9TC06551B10.1039/C9TC06551B ↗
37. 10.1016/j.jcis.2018.12.11110.1016/j.jcis.2018.12.111 ↗
38. 10.1016/j.cej.2021.13386510.1016/j.cej.2021.133865 ↗
39. 10.1016/j.partic.2022.12.01310.1016/j.partic.2022.12.013 ↗
40. 10.1016/j.jallcom.2020.15562910.1016/j.jallcom.2020.155629 ↗
41. 10.1016/j.cej.2020.12662610.1016/j.cej.2020.126626 ↗
42. 10.1016/j.cej.2021.13189410.1016/j.cej.2021.131894 ↗
43. 10.1016/j.synthmet.2021.11687710.1016/j.synthmet.2021.116877 ↗
44. 10.1016/j.jcis.2021.10.13710.1016/j.jcis.2021.10.137 ↗
45. 10.1016/j.cej.2022.13740910.1016/j.cej.2022.137409 ↗
46. 10.1007/s12274-023-5799-310.1007/s12274-023-5799-3 ↗
47. 10.1002/adma.20220796910.1002/adma.202207969 ↗
48. 10.1016/j.compositesb.2021.10945810.1016/j.compositesb.2021.109458 ↗
49. 10.1016/j.jcis.2022.04.05410.1016/j.jcis.2022.04.054 ↗