journal article·2026-07-01

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

Haohan Qu, Jinxia Duan, Junke Wang, Yuqin Huang, Jie Tang, Zhijia Huang, Rui Li, Changsheng Zhou, Chenyin Feng, Li Tao, Jun Zhang, Guokun Ma, Houzhao Wan, Daohong Yang, Hao Wang

ACS Applied Materials & Interfaces· Volume 18· Issue 25
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Abstract

The advancement of artificial intelligence and cloud computing aspires multifunctional components to face complex problems and bionic perception. As one of the emerging neural synapse devices, the perovskite memristor has great potential in information storage and brain-like learning due to its merits, such as low energy consumption and quick processing. Herein, the PET/Graphene/Cs2AgBiBr6/Ag flexible memristor has been successfully fabricated via low-temperature processing (∼100 °C), exhibiting pronounced resistive switching characteristics (ON/OFF ratio: ≈102), 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.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Perovskite Materials and Applications

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

Affiliations

Hubei Yangtze Laboratory, School of Integrated Circuits

Hubei University

Funding

Science and Technology Major Project of Hubei · Major Program of Hubei Province of China

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