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Transparent multifunctional memristor based on amorphous InAlZnO for biomimetic sensing system

Yimeng Xu,Caiyang Ye,Wenyao Jiao,Ziyi Dai,Kai Qian

Published 2025 in Applied Physics Letters

ABSTRACT

Recent advances in artificial intelligence have heightened interest in biomimetic sensory systems that can replicate biological neural processes, particularly learning, memory formation, and cognitive behaviors. In this study, a transparent multifunctional memristor with both volatile and nonvolatile properties is developed using amorphous InAlZnO (a-IAZO). The device's ability to transition between volatile and nonvolatile states effectively mimics biological synaptic behaviors, enabling the simulation of both short-term memory and long-term potentiation/inhibition processes. As a volatile memristor, the device exhibits key nociceptor characteristics, including “no adaptation,” “relaxation,” “threshold firing,” and “sensitization of allodynia/hyperalgesia.” By integrating the a-IAZO memristor with an electrical pressure sensor system, we demonstrated a bionic sensing system capable of pressure detection and voltage-based signal processing. These findings offer promising applications in neuromorphic computing and bionic robotics, advancing the development of artificial sensory systems that more closely approximate biological functions.

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