Steady, Flexible Memristor with Lead-Free Perovskite for Bionic Perception

ACS Applied Materials & Interfaces 2026

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Authors: Haohan Qu, Jinxia Duan, Junke Wang, Yuqin Huang, Jie Tang, Zhijia Huang, R Li, Changsheng Zhou, Chenyin Feng, T J Li, Jun Zhang, G L
+3 more Houzhao Wan, Daohong Yang, Hao Wang
DOI: 10.1021/acsami.6c01730
Cited by: 1
References: 50

Abstract

), long-term environmental stability (≥8 months), and excellent mechanical bending performance (600 bending cycles). The synaptic plasticity in the device is also verified, including paired pulse facilitation (PPF) and spike-timing-dependent plasticity (STDP). By applying resistance memory characteristics, the memristor achieves fear emulation, enabling the realization of key characteristics including "self-extinction", "generalization", and "avoidance". Finally, sound perception is simulated via imposing different signals controlled by different voltage parameters (frequency and amplitude) and light illuminance. Sound characteristics including "pitch", "loudness" and "timbre" are successfully determined. Our work proposes a new application avenue for lead-free flexible perovskite memristors in multimodal intelligent perception and biological simulation.

Fields of Study & Subjects

Advanced Memory and Neural Computing Ferroelectric and Negative Capacitance Devices Perovskite Materials and Applications

Publication details

Journal / source
ACS Applied Materials & Interfaces
Publisher
American Chemical Society (ACS)
Volume
18
Issue
25
Pages
35507–35519
Publication date
20 June 2026
Language
EN