Observing Proton-Electron Mixed Conductivity in Graphdiyne

被引:7
作者
Li, Jiaofu [1 ]
Wang, Cong [1 ]
Su, Jiangtao [1 ]
Liu, Zhihua [2 ]
Fan, Hangming [1 ]
Wang, Changxian [1 ]
Li, Yanzhen [1 ]
He, Yongli [1 ]
Chen, Nuan [1 ]
Cao, Jinwei [1 ]
Chen, Xiaodong [1 ,3 ]
机构
[1] Nanyang Technol Univ, Innovat Ctr Flexible Devices iFLEX, Sch Mat Sci & Engn, Max Planck NTU Joint Lab Artificial Senses, 50 Nanyang Ave, Singapore 639798, Singapore
[2] Agcy Sci Technol & Res, Inst Mat Res & Engn IMRE, Singapore 138634, Singapore
[3] Nanyang Technol Univ, Inst Digital Mol Analyt & Sci IDMxS, 59 Nanyang Dr, Singapore 636921, Singapore
基金
新加坡国家研究基金会;
关键词
assistive technology; flexible sensors and switches; graphdiyne; human-machine interface; proton-electron conductivity; NANOSHEETS;
D O I
10.1002/adma.202400950
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Mixed conducting materials with both ionic and electronic conductivities have gained prominence in emerging applications. However, exploring material with on-demand ionic and electronic conductivities remains challenging, primarily due to the lack of correlating macroscopic conductivity with atom-scale structure. Here, the correlation of proton-electron conductivity and atom-scale structure in graphdiyne is explored. Precisely adjusting the conjugated diynes and oxygenic functional groups in graphdiyne yields a tunable proton-electron conductivity on the order of 103. In addition, a wet-chemistry lithography technique for uniform preparation of graphdiyne on flexible substrates is provided. Utilizing the proton-electron conductivity and mechanical tolerance of graphdiyne, bimodal flexible devices serving as capacitive switches and resistive sensors are created. As a proof-of-concept, a breath-machine interface for sentence-based communication and self-nursing tasks with an accuracy of 98% is designed. This work represents an important step toward understanding the atom-scale structure-conductivity relationship and extending the applications of mixed conducting materials to assistive technology. This study reports that conjugated diynes and oxygenic functional groups tune the proton-electron conductivity in graphdiyne. In addition, a wet-chemistry lithography technique for uniform preparation of graphdiyne on flexible substrates is provided. As a proof-of-concept, a breath-machine interface for sentence-based communication and self-nursing tasks with an accuracy of 98% is designed. image
引用
收藏
页数:9
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