The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Toward the Application of High Frequency Electromagnetic Wave Absorption by Carbon Nanostructures
Open accessAbstract
With the booming development of electronic information technology, the problems caused by electromagnetic (EMs) waves have gradually become serious, and EM wave absorption materials are playing an essential role in daily life. Carbon nanostructures stand out for their unique structures and properties compared with the other absorption materials. Graphene, carbon nanotubes, and other special carbon nanostructures have become especially significant as EM wave absorption materials in the high‐frequency range. Moreover, various nanocomposites based on carbon nanostructures and other lossy materials can be modified as high‐performance absorption materials. Here, the EM wave absorption theories of carbon nanostructures are introduced and recent advances of carbon nanostructures for high‐frequency EM wave absorption are summarized. Meanwhile, the shortcomings, challenges, and prospects of carbon nanostructures for high‐frequency EM wave absorption are presented. Carbon nanostructures are typical EM wave absorption materials being lightweight and having broadband properties. Carbon nanostructures and related nanocomposites represent the developing orientation of high‐performance EM wave absorption materials.
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Cites
Two-dimensional gas of massless Dirac fermions in graphene
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Katsnelson, M. I., Grigorieva, I. V., Dubonos, S. V., & Firsov, A. A. (2005) · Nature · doi:10.1038/nature04233 · Cited by 21,611
Graphene: Status and Prospects
Geim, A. K. (2009) · Science · doi:10.1126/science.1158877 · Cited by 13,942
Graphene and Graphene Oxide: Synthesis, Properties, and Applications
Zhu, Y., Murali, S., Cai, W., Li, X., Suk, J. W., Potts, J. R., & Ruoff, R. S. (2010) · Advanced Materials · doi:10.1002/adma.201001068 · Cited by 10,522
Carbon Nanotubes: Present and Future Commercial Applications
De Volder, M. F. L., Tawfick, S. H., Baughman, R. H., & Hart, A. J. (2013) · Science · doi:10.1126/science.1222453 · Cited by 5,587
Liu, J., Rinzler, A. G., Dai, H., Hafner, J. H., Bradley, R. K., Boul, P. J., Lu, A., Iverson, T., Shelimov, K., Huffman, C. B., et al. (1998) · Science · doi:10.1126/science.280.5367.1253 · Cited by 2,903
Chen, Z., Xu, C., Ma, C., Ren, W., & Cheng, H. (2013) · Advanced Materials · doi:10.1002/adma.201204196 · Cited by 1,986
Zhang, Y., Huang, Y., Zhang, T., Chang, H., Xiao, P., Chen, H., Huang, Z., & Chen, Y. (2015) · Advanced Materials · doi:10.1002/adma.201405788 · Cited by 1,947
Self-citationHydrogen Storage in Single-Walled Carbon Nanotubes at Room Temperature
Liu, C., Fan, Y. Y., Liu, M., Cong, H. T., Cheng, H. M., & Dresselhaus, M. S. (1999) · Science · doi:10.1126/science.286.5442.1127 · Cited by 1,871
Qin, F., & Brosseau, C. (2012) · Journal of Applied Physics · doi:10.1063/1.3688435 · Cited by 1,202
Cited by
Electromagnetic microwave absorption theory and recent achievements in microwave absorbers
Zeng, X., Cheng, X., Yu, R., & Stucky, G. D. (2020) · Carbon · doi:10.1016/j.carbon.2020.07.028 · Cited by 991
Xia, Y., Gao, W., & Gao, C. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202204591 · Cited by 734
Carbon-Based MOF Derivatives: Emerging Efficient Electromagnetic Wave Absorption Agents
Zhang, X., Qiao, J., Jiang, Y., Wang, F., Tian, X., Wang, Z., Wu, L., Liu, W., & Liu, J. (2021) · Nano-Micro Letters · doi:10.1007/s40820-021-00658-8 · Cited by 409
Metadata
- Authors
- Li, Q., Zhang, Z., Qi, L., Liao, Q., Kang, Z., & Zhang, Y.
- Venue
- Advanced Science
- Publisher
- Wiley
- Published
- 2019-02-10
- Volume
- 6
- Issue
- 8
- Pages
- 1801057-1801057
- ISSN
- 2198-3844 (ISSN-L)
- OpenAlex
- W2914663993
- Cited by
- 615
- References
- 72
- FWCI
- 19.18
- Type
- journal article
- Language
- en
- Open access
- gold
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