journal article·2025-05

Tuning the Multilevel Hierarchical Microarchitecture of MXene/rGO‐Based Aerogels Through a Magnetic Field‐Guided Strategy Toward Stepwise Enhanced Electromagnetic Wave Dissipation

Yang Yang, Zheng Xiu, Fei Pan, Hongsheng Liang, Haojie Jiang, Hongtao Guo, Xiao Wang, Lixin Li, Bin Yuan, Wei Lu

Advanced Functional Materials· Volume 35· Issue 18
Publisher page

Abstract

Abstract Hierarchical microarchitecture engineering is a state‐of‐the‐art approach to designing aerogel electromagnetic (EM) wave absorbers, offering huge potential in improving EM energy dissipation. However, the intrinsic feedback mechanism regarding the specific influence of each microarchitecture parameter on EM properties is not comprehensively revealed, making it challenging to fully utilize the potential of aerogels to achieve superior EM wave absorption performance. Herein, a range of MXene/rGO‐based aerogels with multilevel hierarchical configurations are fabricated by a magnetic field‐guided strategy. Leveraging growth thermodynamics effects under a magnetic field and bridging effect between adjacent rGO units, three hierarchical microarchitecture models (lamellae ordering, interlayer spacing, and layer thickness) are constructed in aerogels. Remarkably, three models progressively improve reflection loss ( RL ), effective absorption bandwidth (EAB), and matching thickness by enhancing dielectric loss, decoupling attenuation‐impedance matching, and adjusting power loss density, respectively. Consequently, the MXene/rGO‐based aerogels exhibit stepwise enhancement in EM wave performance, achieving a superior RL of −64.6 dB and a broad EAB of 7.0 GHz at 1.8 mm thickness, surpassing alternative aerogels with other configurations. This work elucidates the effect of multilevel hierarchical microarchitecture on the synergistic multi‐effect dissipation mechanism of EM waves in aerogels, providing insights for designing advanced EM absorbers through diverse strategies.
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Research context

OpenAlex topics: Electromagnetic wave absorption materials · Metamaterials and Metasurfaces Applications · Advanced Antenna and Metasurface Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Shanghai Key Lab. of D&A for Metal‐Functional Materials School of Materials Science & Engineering Tongji University Shanghai 201804 P. R. China

MOE Key Laboratory of Material Physics and Chemistry under Extraordinary School of Physical Science and Technology Northwestern Polytechnical University Xiʼan 710072 P. R. China

Funding

Fundamental Research Funds for the Central Universities · National Key Research and Development Program of China · National Natural Science Foundation of China

References (46)

Show source-provided references
1. 10.1016/j.pmatsci.2022.10094610.1016/j.pmatsci.2022.100946 ↗
2. 10.1002/adma.20210753810.1002/adma.202107538 ↗
3. 10.1002/smtd.20230160010.1002/smtd.202301600 ↗
4. 10.1002/adfm.20221260410.1002/adfm.202212604 ↗
5. 10.1002/adma.20140578810.1002/adma.201405788 ↗
6. 10.1016/j.carbon.2007.10.01310.1016/j.carbon.2007.10.013 ↗
7. 10.1016/j.commatsci.2006.05.02410.1016/j.commatsci.2006.05.024 ↗
8. 10.1016/j.cej.2022.13849210.1016/j.cej.2022.138492 ↗
9. 10.1002/adfm.20211229410.1002/adfm.202112294 ↗
10. 10.1002/smll.20230669810.1002/smll.202306698 ↗
11. 10.1002/advs.20230159910.1002/advs.202301599 ↗
12. 10.1038/s41467-022-28906-410.1038/s41467-022-28906-4 ↗
13. 10.1002/adfm.20180762410.1002/adfm.201807624 ↗
14. 10.1002/adfm.20210343610.1002/adfm.202103436 ↗
15. 10.1002/adfm.20210750810.1002/adfm.202107508 ↗
16. 10.1002/adma.20200556910.1002/adma.202005569 ↗
17. 10.1021/acsnano.8b0573910.1021/acsnano.8b05739 ↗
18. 10.1002/adfm.20231465310.1002/adfm.202314653 ↗
19. 10.1021/acsnano.2c0219310.1021/acsnano.2c02193 ↗
20. 10.1021/acsnano.2c1122010.1021/acsnano.2c11220 ↗
21. 10.1002/adfm.20230688410.1002/adfm.202306884 ↗
22. 10.1021/acsnano.1c1009310.1021/acsnano.1c10093 ↗
23. 10.1021/acsnano.7b0181510.1021/acsnano.7b01815 ↗
24. 10.1002/adma.20230081310.1002/adma.202300813 ↗
25. 10.1002/adfm.20220416610.1002/adfm.202204166 ↗
26. 10.1002/adfm.20180525510.1002/adfm.201805255 ↗
27. 10.1002/adma.20230558610.1002/adma.202305586 ↗
28. 10.1002/adma.20231141110.1002/adma.202311411 ↗
29. 10.1002/adfm.20230037410.1002/adfm.202300374 ↗
30. 10.1021/acsnano.0c0998210.1021/acsnano.0c09982 ↗
31. 10.1002/adfm.20200047510.1002/adfm.202000475 ↗
32. 10.1002/adom.20190026710.1002/adom.201900267 ↗
33. 10.1126/science.adj354910.1126/science.adj3549 ↗
34. 10.1016/j.compositesb.2017.10.02910.1016/j.compositesb.2017.10.029 ↗
35. 10.1002/adfm.20220989810.1002/adfm.202209898 ↗
36. 10.1002/smll.20190090010.1002/smll.201900900 ↗
37. 10.1016/j.carbon.2018.05.03610.1016/j.carbon.2018.05.036 ↗
38. 10.1038/s41467-023-41697-610.1038/s41467-023-41697-6 ↗
39. 10.1002/adfm.20231354410.1002/adfm.202313544 ↗
40. 10.1002/smll.20210541110.1002/smll.202105411 ↗
41. 10.1002/adfm.20231454110.1002/adfm.202314541 ↗
42. 10.1002/adfm.20230659910.1002/adfm.202306599 ↗
43. 10.1002/adfm.20210750810.1002/adfm.202107508 ↗
44. 10.1016/j.compositesa.2020.10595910.1016/j.compositesa.2020.105959 ↗
45. 10.1016/j.jmst.2022.05.05010.1016/j.jmst.2022.05.050 ↗
46. 10.1002/advs.20210198810.1002/advs.202101988 ↗