The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Composition Optimization and Microstructure Design in MOFs-Derived Magnetic Carbon-Based Microwave Absorbers: A Review
Open accessAbstract
Magnetic carbon-based composites are the most attractive candidates for electromagnetic (EM) absorption because they can terminate the propagation of surplus EM waves in space by interacting with both electric and magnetic branches. Metal-organic frameworks (MOFs) have demonstrated their great potential as sacrificing precursors of magnetic metals/carbon composites, because they provide a good platform to achieve high dispersion of magnetic nanoparticles in carbon matrix. Nevertheless, the chemical composition and microstructure of these composites are always highly dependent on their precursors and cannot promise an optimal EM state favorable for EM absorption, which more or less discount the superiority of MOFs-derived strategy. It is hence of great importance to develop some accompanied methods that can regulate EM properties of MOFs-derived magnetic carbon-based composites effectively. This review comprehensively introduces recent advancements on EM absorption enhancement in MOFs-derived magnetic carbon-based composites and some available strategies therein. In addition, some challenges and prospects are also proposed to indicate the pending issues on performance breakthrough and mechanism exploration in the related field.
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Cites
Electromagnetic interference shielding with 2D transition metal carbides (MXenes)
Shahzad, F., Alhabeb, M., Hatter, C. B., Anasori, B., Man Hong, S., Koo, C. M., & Gogotsi, Y. (2016) · Science · doi:10.1126/science.aag2421 · Cited by 5,201
One-Step Assembly of Coordination Complexes for Versatile Film and Particle Engineering
Ejima, H., Richardson, J. J., Liang, K., Best, J. P., van Koeverden, M. P., Such, G. K., Cui, J., & Caruso, F. (2013) · Science · doi:10.1126/science.1237265 · Cited by 2,419
Chemical, thermal and mechanical stabilities of metal–organic frameworks
Howarth, A. J., Liu, Y., Li, P., Li, Z., Wang, T. C., Hupp, J. T., & Farha, O. K. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2015.18 · Cited by 2,204
CoNi@SiO2@TiO2 and CoNi@Air@TiO2 Microspheres with Strong Wideband Microwave Absorption
Liu, Q., Cao, Q., Bi, H., Liang, C., Yuan, K., She, W., Yang, Y., & Che, R. (2016) · Advanced Materials · doi:10.1002/adma.201503149 · Cited by 1,947
Metal-Organic Framework as a Template for Porous Carbon Synthesis
Liu, B., Shioyama, H., Akita, T., & Xu, Q. (2008) · Journal of the American Chemical Society · doi:10.1021/ja7106146 · Cited by 1,829
Li, X., Huang, X., Xi, S., Miao, S., Ding, J., Cai, W., Liu, S., Yang, X., Yang, H., Gao, J., et al. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b05992 · Cited by 1,466
From fundamentals to applications: a toolbox for robust and multifunctional MOF materials
Kirchon, A., Feng, L., Drake, H. F., Joseph, E. A., & Zhou, H.-C. (2018) · Chemical Society Reviews · doi:10.1039/c8cs00688a · Cited by 1,448
Chen, Y., Wang, C., Wu, Z., Xiong, Y., Xu, Q., Yu, S., & Jiang, H. (2015) · Advanced Materials · doi:10.1002/adma.201502315 · Cited by 1,390
Nanomaterials derived from metal–organic frameworks
Dang, S., Zhu, Q.-L., & Xu, Q. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.75 · Cited by 1,230
Engineering Multifunctional Capsules through the Assembly of Metal–Phenolic Networks
Guo, J., Ping, Y., Ejima, H., Alt, K., Meissner, M., Richardson, J. J., Yan, Y., Peter, K., von Elverfeldt, D., Hagemeyer, C. E., et al. (2014) · Angewandte Chemie International Edition · doi:10.1002/anie.201311136 · Cited by 1,157
Metadata
- Authors
- Zhao, H., Wang, F., Cui, L., Xu, X., Han, X., & Du, Y.
- Venue
- Nano-Micro Letters
- Published
- 2021-10-11
- Volume
- 13
- Issue
- 1
- Pages
- 208-208
- ISSN
- 2150-5551 (ISSN-L)
- 2311-6706
- OpenAlex
- W3206393731
- Cited by
- 258
- References
- 88
- FWCI
- 11.27
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhao, H., Wang, F., Cui, L., Xu, X., Han, X., & Du, Y. (2021). Composition Optimization and Microstructure Design in MOFs-Derived Magnetic Carbon-Based Microwave Absorbers: A Review. Nano-Micro Letters. https://doi.org/10.1007/s40820-021-00734-z
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