Skin-inspired in-sensor encoding of strain vector using tunable quantum geometry
Abstract
Human skin provides crucial tactile feedback, allowing us 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, we present a skin-inspired method 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 Td -WTe2. We observe robust and independent responses from the second-order and third-order nonlinear Hall signals in Td -WTe2 when subjected to variations in both the magnitude and direction of strain. Through rigorous temperature-dependent measurements and scaling law analysis, we establish that these strain responses primarily stem from quantum geometry-related phenomena, including the Berry curvature and Berry-connection polarizability tensor. Furthermore, our study demonstrates that the 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". Our findings highlight the promising application of topological quantum materials in advancing next-generation, bio-inspired flexible electronics.
Cite
@article{arxiv.2501.04215,
title = {Skin-inspired in-sensor encoding of strain vector using tunable quantum geometry},
author = {Zenglin Liu and Jingwen Shi and Jin Cao and Zecheng Ma and Zaizheng Yang and Yanwei Cui and Lizheng Wang and Yudi Dai and Moyu Chen and Pengfei Wang and Yongqin Xie and Fanqiang Chen and Youguo Shi and Cong Xiao and Shengyuan A. Yang and Bin Cheng and Shi-Jun Liang and Feng Miao},
journal= {arXiv preprint arXiv:2501.04215},
year = {2025}
}
Comments
Published in Advanced Functional Materials (2024)