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Memristor-based artificial tactile perception systems with integrated functions of sensing, storage and computing

基于忆阻器的感-存-算一体化人工触觉感知系统

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Abstract

Constructing an artificial intelligence interactive system is still challenging due to the lack of an integrated artificial sensing and processing system with high performance. In this work, an artificial tactile perception system with integrated sensing, storage, and computing functions is designed based on silk fibroin composite memristors and piezoresistive pressure sensors. The sensors based on polydimethylsiloxane/silver nanowires can sense the external pressure stimulation with fast response speed. In addition, the composite memristor based on silk fibroin possesses good cyclic stability and synaptic plasticity simulation and acts as an artificial synapse to process tactile information. As a result, the integrated tactile perception system realizes the perception, storage, and processing of pressure information, demonstrating the possibility to simulate the biological tactile perception nervous system. This type of system may promote potential applications in artificial intelligence, such as autonomous driving, wearable, flexible electronic devices, and bionic robots.

摘要

构筑人工智能交互系统依然存在挑战, 其原因在于缺少高性能 的感知-计算集成系统. 本研究基于丝素蛋白复合忆阻器与压阻式传感 器设计了集感-存-算功能于一体的人工触觉感知系统. 传感器由聚二甲 基硅氧烷/银纳米线构成, 可快速响应外界压力刺激. 丝素蛋白复合忆 阻器具有优异的循环稳定性及突触可塑性模拟功能, 可作为人工突触 处理触觉信息. 本文集成的触觉感知系统可实现对压力信号的感知、 存储及加工, 证实了其模拟生物体触觉神经系统的可能, 有望在自动驾 驶、可穿戴柔性电子、仿生机器人等人工智能领域广泛应用.

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Acknowledgement

This work was supported by Shanghai Rising-Star Program (22QA1400400), the Basic Research Project of the Science and Technology Commission of Shanghai Municipality (21JC1400100), the National Natural Science Foundation of China (52173031), and the Oriental Talent Plan (Leading Talent Program, 152). Thanks to Dr. Renwei Liu (Shimadzu) for assisting in AFM measurements, including CAFM and KPFM.

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Authors and Affiliations

Authors

Contributions

Author contributions Zhang Y and Fan S conceived and directed this research; Xie Y carried out the experiments and analyzed the data; Xie Y, Kundu SC, Fan S and Zhang Y drafted and revised the paper. All authors participated in data discussions and gave approval to the final version of the manuscript.

Corresponding authors

Correspondence to Suna Fan  (范苏娜) or Yaopeng Zhang  (张耀鹏).

Ethics declarations

Conflict of interest The authors declare that they have no conflict of interest.

Additional information

Supplementary information Supplementary materials are available in the online version of the paper.

Xie Yulong received his bachelor’s degree in polymer materials and engineering from Anhui Polytechnic University in 2021. He received his Master’s degree in materials science from Donghua University in 2024. His research mainly focuses on silk fibroin based bio-memristors.

Suna Fan is an associate professor at the College of Materials Science and Engineering, Donghua University (DHU). She received her PhD in materials physics and chemistry from Jilin University, China, in 2017. From 2017 to 2018, she was an assistant professor at Wenzhou Institute of Biomaterials and Engineering, Chinese Academy of Sciences (CAS) (renamed as Wenzhou Institute, University of CAS in 2019). She joined DHU in 2018 and is working on the research of conducting polymers and silk-based smart materials.

Yaopeng Zhang is a professor at the State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, DHU. He received his PhD in materials science from DHU in 2002. From 2004 to 2007 he was a postdoctoral research fellow at Kawamura Institute of Chemical Research, Japan. He served as a visiting scholar at Akita University, Japan and Stony Brook University, USA, respectively. His current research is silk materials for bioelectronic and biomedical applications.

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Supporting Information: Memristor-based artificial tactile perception systems with integrated functions of sensing, storage and computing

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Xie, Y., Kundu, S.C., Fan, S. et al. Memristor-based artificial tactile perception systems with integrated functions of sensing, storage and computing. Sci. China Mater. (2024). https://doi.org/10.1007/s40843-024-3072-4

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