Advanced bifunctional bionic neural network-like architecture constructed by multi-scale carbon nanotubes nanocomposites for enhanced microwave absorption
文献类型：期刊论文
| 作者 | Li, Shuaizhen1,2; Xie, Tianwen1,2; Ma, Lin1,2; Li, Bo1,2; Liu, Daheng1,2; Huang, Nan1; Liu, Wei1; Li, Bing1; Gai, Zhigang4; Jiang, Xin3 |
| 刊名 | COMPOSITES PART B-ENGINEERING
 |
| 出版日期 | 2024-09-01 |
| 卷号 | 284页码:12 |
| 关键词 | Hierarchical bionic neural network Ni3Fe nanocatalysts Microwave absorption Corrosion protection |
| ISSN号 | 1359-8368 |
| DOI | 10.1016/j.compositesb.2024.111714 |
| 通讯作者 | Ma, Song(songma@imr.ac.cn) |
| 英文摘要 | Accompanied with challenging to develop bifunctional microwave absorbers to enhance the environmental adaptability and survivability of electromagnetic devices in harsh environment, a three-dimensional (3D) hierarchical bionic neural network-like architectures decorated multi-scale Ni3Fe@N-doped carbon nanotube composites (Ni3Fe@NCNT@CF) were innovatively designed and constructed to realize the integration of microwave absorption and corrosion protection. The optimal Ni3Fe@NCNT@CF demonstrates competitive microwave absorption with a minimum reflection loss of -51.5 dB and a maximum effective absorption bandwidth (EAB) of 6.4 GHz at 10 wt%, due to superior interlinked conductive channels (with dominant and adjustable conduction loss) and magnetic-dielectric matching of the 3D hierarchical bionic neural network. A reliable anti-corrosion performance is further exhibited to show ultra-low corrosion current density similar to 10(-8) A cm(-2) after 30 days of immersion in corrosive medium, owing to the physical shield provided by the impermeable and inert CNT shells. Our findings may provide design inspiration of versatile microwave materials for applications in complicated environments. |
| 资助项目 | National Key R & D Program of China[2022YFB3504804] ; National Key R & D Program of China[2023YFF0718303] ; National Natural Science Foundation of China[51871219] ; National Natural Science Foundation of China[52031014] ; Science and Technology Project of Shenyang City[22-101-0-27] ; Liaoning Province Medical and Industrial Cross Joint Fund[2022-YGJC-29] |
| WOS研究方向 | Engineering ; Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001279715800001 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Key R & D Program of China ; National Natural Science Foundation of China ; Science and Technology Project of Shenyang City ; Liaoning Province Medical and Industrial Cross Joint Fund |
| 源URL |  |
| 专题 | 金属研究所_中国科学院金属研究所 |
| 通讯作者 | Ma, Song |
| 作者单位 | 1.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, 72 Wenhua Rd, Shenyang 110016, Peoples R China 2.Univ Sci & Technol China, Sch Mat Sci & Engn, 72 Wenhua Rd, Shenyang 110016, Peoples R China 3.Univ Siegen, Inst Mat Engn, 9-11 Paul Bonatz Str, D-57076 Siegen, Germany 4.Qilu Univ Technol, Inst Oceanog Instrumentat, Shandong Acad Sci, Qingdao 266100, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Shuaizhen,Xie, Tianwen,Ma, Lin,et al. Advanced bifunctional bionic neural network-like architecture constructed by multi-scale carbon nanotubes nanocomposites for enhanced microwave absorption[J]. COMPOSITES PART B-ENGINEERING,2024,284:12. |
| APA | Li, Shuaizhen.,Xie, Tianwen.,Ma, Lin.,Li, Bo.,Liu, Daheng.,...&Zhang, Zhidong.(2024).Advanced bifunctional bionic neural network-like architecture constructed by multi-scale carbon nanotubes nanocomposites for enhanced microwave absorption.COMPOSITES PART B-ENGINEERING,284,12. |
| MLA | Li, Shuaizhen,et al."Advanced bifunctional bionic neural network-like architecture constructed by multi-scale carbon nanotubes nanocomposites for enhanced microwave absorption".COMPOSITES PART B-ENGINEERING 284(2024):12. |
入库方式： OAI收割
来源：金属研究所
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