Skin‐Inspired in‐Sensor Encoding of Strain Vector Using Tunable Quantum Geometry
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 d ‐WTe 2 . Robust and independent responses are observed from the second‐order and third‐order nonlinear Hall signals in T d ‐WTe 2 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.
Authors
- Fanqiang Chen (ORCID: https://orcid.org/0000-0003-3448-0877)
- Shengyuan A. Yang (ORCID: https://orcid.org/0000-0001-6003-1501)
- Cong Xiao (ORCID: https://orcid.org/0000-0002-4843-070X)
- Zenglin Liu (ORCID: https://orcid.org/0000-0002-8845-7368)
- Zecheng Ma
- Shi‐Jun Liang (ORCID: https://orcid.org/0000-0002-3466-8063)
- Feng Miao (ORCID: https://orcid.org/0000-0002-0962-5424)
- J. Cao (ORCID: https://orcid.org/0000-0002-9590-244X)
- Yudi Dai (ORCID: https://orcid.org/0000-0002-7547-9867)
- Moyu Chen (ORCID: https://orcid.org/0009-0005-2054-3541)
- Bin Cheng (ORCID: https://orcid.org/0000-0002-2932-4370)
- Lizheng Wang (ORCID: https://orcid.org/0000-0002-4054-3101)
- Pengfei Wang (ORCID: https://orcid.org/0000-0002-8827-0309)
- Yongqin Xie
- Youguo Shi (ORCID: https://orcid.org/0000-0002-6610-6989)
- Jingwen Shi
- Yanwei Cui
- Zai-Zheng Yang
Institutions
- University of Macau (MO)
- Nanjing University of Science and Technology (CN)
- Collaborative Innovation Center of Advanced Microstructures (CN)
- Institute of Physics (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1002/adfm.202416204
- Citations
- 2
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.37
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities