Residential College | false |
Status | 已發表Published |
Skin-Inspired in-Sensor Encoding of Strain Vector Using Tunable Quantum Geometry | |
Liu, Zenglin1; Shi, Jingwen1; Cao, Jin2; Ma, Zecheng1; Yang, Zaizheng1; Cui, Yanwei1; Wang, Lizheng1; Dai, Yudi1; Chen, Moyu1; Wang, Pengfei1; Xie, Yongqin1; Chen, Fanqiang1; Shi, Youguo3; Xiao, Cong2; Yang, Shengyuan A.2; Cheng, Bin4![]() ![]() ![]() | |
2024-12 | |
Source Publication | Advanced Functional Materials
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ISSN | 1616-301X |
Abstract | Human skin provides crucial tactile feedback, allowing to skillfully perceive various objects by sensing and encoding complex deformations through multiple parameters in each tactile receptor. However, replicating this high-dimensional tactile perception with conventional materials' electronic properties remains a daunting challenge. Here, a skin-inspired method is presented to encode strain vectors directly within a sensor. This is achieved by leveraging the strain-tunable quantum properties of electronic bands in the van der Waals topological semimetal T-WTe. Robust and independent responses are observed from the second-order and third-order nonlinear Hall signals in T-WTe when subjected to variations in both the magnitude and direction of strain. Through rigorous temperature-dependent measurements and scaling law analysis, it is established that these strain responses primarily stem from quantum geometry-related phenomena, including the Berry curvature and Berry-connection polarizability tensor. Furthermore, the study demonstrates that strain-dependent nonlinear Hall signals can efficiently encode high-dimensional strain information using a single device. This capability enables accurate and comprehensive sensing of complex strain patterns in the embossed character “NJU”. The findings highlight the promising application of topological quantum materials in advancing next-generation, bio-inspired flexible electronics. |
Keyword | Bionic Tactile Perception High-dimensional Encoding In-sensor Computing Nonlinear Hall Effect Quantum Geometry Strain Engineering |
DOI | 10.1002/adfm.202416204 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics |
WOS Subject | Chemistry, Multidisciplinary ; Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied ; Physics, Condensed Matter |
WOS ID | WOS:001369312300001 |
Publisher | WILEY-V C H VERLAG GMBH, POSTFACH 101161, 69451 WEINHEIM, GERMANY |
Scopus ID | 2-s2.0-85211130482 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | INSTITUTE OF APPLIED PHYSICS AND MATERIALS ENGINEERING |
Corresponding Author | Cheng, Bin; Liang, Shi Jun; Miao, Feng |
Affiliation | 1.National Laboratory of Solid State Microstructures, Institute of Brain-Inspired Intelligence, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, China 2.Institute of Applied Physics and Materials Engineering, University of Macau, SAR, 519000, Macao 3.Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China 4.Institute of Interdisciplinary Physical Sciences, School of Science, Nanjing University of Science and Technology, Nanjing, 210094, China |
Recommended Citation GB/T 7714 | Liu, Zenglin,Shi, Jingwen,Cao, Jin,et al. Skin-Inspired in-Sensor Encoding of Strain Vector Using Tunable Quantum Geometry[J]. Advanced Functional Materials, 2024. |
APA | Liu, Zenglin., Shi, Jingwen., Cao, Jin., Ma, Zecheng., Yang, Zaizheng., Cui, Yanwei., Wang, Lizheng., Dai, Yudi., Chen, Moyu., Wang, Pengfei., Xie, Yongqin., Chen, Fanqiang., Shi, Youguo., Xiao, Cong., Yang, Shengyuan A.., Cheng, Bin., Liang, Shi Jun., & Miao, Feng (2024). Skin-Inspired in-Sensor Encoding of Strain Vector Using Tunable Quantum Geometry. Advanced Functional Materials. |
MLA | Liu, Zenglin,et al."Skin-Inspired in-Sensor Encoding of Strain Vector Using Tunable Quantum Geometry".Advanced Functional Materials (2024). |
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