journal article·2026-05

Natural Superlattice 2D Materials‐based Volatile Memristor Promotes Artificial Nociceptor

Yongyue Xiao, Li Yang, Yuanduo Qu, Shuai Zhang, Shanwu Ke, Chan Ke, Yang Li, Mengdi Hao, Chen Wang, Pan Xue, Zhenyu Zhang, Hao Huang, Yanliang Liu, Ziqiang Cheng, Cong Ye, Paul K. Chu, Xue‐Feng Yu, Jiahong Wang

Small· Volume 22· Issue 28
Publisher page

Abstract

ABSTRACT Memristors show promise in neuromorphic computing because of their resistive switching properties and memory functions. The integration of high‐performance memristor devices with sensors offers an effective pathway toward energy‐efficient edge‐computing systems. Herein, using the natural superlattice 2D material of BiTiS 3 composed of alternating BiS and TiS 2 sublayers, a volatile memristor with a low operating voltage is designed and demonstrated. The lattice distortion and sulfur vacancies in BiTiS 3 enhance ion migration and filament formation, as verified by conductive atomic force microscopy and X‐ray photoelectron spectroscopy. This defect‐induced enhancement of ion transport promotes the rapid formation and dissolution of conductive filaments, thereby implementing the memristors’ volatile switching behavior. The nociceptive functions, such as pain hypersensitivity and allodynia, are mimicked. This biomimetic nociceptor system effectively emulates the biological pain response pathways, converts physical stimuli into electrical signals, and generates the appropriate neural‐like outputs. Our results highlight the potential of memristors in bioinspired electronics and reveal a new strategy for intelligent bionic devices and artificial sensing systems.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · 2D Materials and Applications · MXene and MAX Phase Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen P. R. China

School of Integrated Circuit Dongguan University of Technology Dongguan P. R. China

University of Chinese Academy of Sciences Beijing P. R. China

Guangdong Provincial Key Laboratory of Multimodality Non‐Invasive Brain‐Computer Interfaces Shenzhen P. R. China

School of Microelectronics Key Laboratory of Intelligent Sensing System and Security of the Ministry of Education Hubei University Wuhan P. R. China

Department of Applied Physics East China Jiaotong University Nanchang P. R. China

Southern University of Science and Technology Shenzhen P. R. China

Department of Physics, Department of Materials Science and Engineering, and Department of Biomedical Engineering City University of Hong Kong Kowloon Hong Kong

The Key Laboratory of Biomedical Imaging Science and System Chinese Academy of Sciences State Key Laboratory of Biomedical Imaging Science and System Shenzhen P. R. China

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · Shenzhen Science and Technology Innovation Program

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