题名 | A Superhuman Sensing Triboelectric Nanogenerator with Boosted Power Density and Durability via a Bio-Inspired Janus Structure |
作者 | |
通讯作者 | Zhang, Chen; Zhao, Weiwei; Bai, Ziqian |
发表日期 | 2024-04-01
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DOI | |
发表期刊 | |
ISSN | 1616-301X
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EISSN | 1616-3028
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摘要 | ["Triboelectric nanogenerators (TENG) not only enable sustainable self-powered sensing of devices, but also have superhuman noncontact/contact identification capabilities, which are propelling humanity toward the intelligent era. However, the inherently low dielectric constant of triboelectric materials as well as the mechanical mismatch between electrodes and dielectric materials severely limited their efficient and stable output performance. Taking inspiration from the asymmetric structure and function of human skin, a novel single-electrode TENG is developed, whose electrode and dielectric layer are integrated in a Janus architecture. By tuning the balance between gravity and the internal noncovalent interactions, gradient dispersion of carbon nanotubes in waterborne polyurethane networks can be feasibly achieved, which can boost the device performance by reinforcement in both the charge trapping capacity of the dielectric layer and the charge transfer of the electrode layer. As a proof-of-concept, triboelectric sensing and deep learning are integrated to realize the evolution from perception to identification under both noncontact (motion prediction) and contact (material identification) modes. The bionic design strategy of gradient Janus film can offer valuable insights into improving the output performance and durability of TENG. Additionally, the proximal prediction and tactile identification functions are also desirable attempts for future human-machine interfaces.","Achieving the natural gradient sedimentation of CNT within the waterborne polyurethane network to form a Janus triboelectric film is accomplished by rationally controlling the balance between gravity and filler-polymer interaction. Integrating triboelectric sensing and deep learning to enable evolution from perception to identification in noncontact (motion prediction) and contact (material recognition) modes. image"] |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 第一
; 通讯
|
资助项目 | Natural Science Foundation of Guangdong Province of China[2023A1515011282]
; Shenzhen Science and Technology Program[KQTD201708110344233]
; null[52203312]
; null[52073075]
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WOS研究方向 | Chemistry
; Science & Technology - Other Topics
; Materials Science
; Physics
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WOS类目 | Chemistry, Multidisciplinary
; Chemistry, Physical
; Nanoscience & Nanotechnology
; Materials Science, Multidisciplinary
; Physics, Applied
; Physics, Condensed Matter
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WOS记录号 | WOS:001198240600001
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出版者 | |
ESI学科分类 | MATERIALS SCIENCE
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来源库 | Web of Science
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引用统计 |
被引频次[WOS]:14
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/788715 |
专题 | 工学院_系统设计与智能制造学院 |
作者单位 | 1.Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, Human Comp Interact Design Lab, Shenzhen 518055, Peoples R China 2.Harbin Inst Technol Shenzhen, Sch Mat Sci & Engn, Sauvage Lab Smart Mat, Shenzhen 518055, Peoples R China 3.Harbin Inst Technol Shenzhen, Shenzhen Key Lab Flexible Printed Elect Technol, Shenzhen 518055, Peoples R China 4.Harbin Inst Technol, State Key Lab Adv Welding & Joining, Harbin 150001, Peoples R China |
第一作者单位 | 系统设计与智能制造学院 |
通讯作者单位 | 系统设计与智能制造学院 |
第一作者的第一单位 | 系统设计与智能制造学院 |
推荐引用方式 GB/T 7714 |
Jin, Chun,Zhang, Chen,Yan, Pengfei,et al. A Superhuman Sensing Triboelectric Nanogenerator with Boosted Power Density and Durability via a Bio-Inspired Janus Structure[J]. ADVANCED FUNCTIONAL MATERIALS,2024.
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APA |
Jin, Chun.,Zhang, Chen.,Yan, Pengfei.,Jiang, Mengqi.,Yin, Rui.,...&Bai, Ziqian.(2024).A Superhuman Sensing Triboelectric Nanogenerator with Boosted Power Density and Durability via a Bio-Inspired Janus Structure.ADVANCED FUNCTIONAL MATERIALS.
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MLA |
Jin, Chun,et al."A Superhuman Sensing Triboelectric Nanogenerator with Boosted Power Density and Durability via a Bio-Inspired Janus Structure".ADVANCED FUNCTIONAL MATERIALS (2024).
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条目包含的文件 | 条目无相关文件。 |
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