Transparent multifunctional memristor based on amorphous InAlZnO for biomimetic sensing system
Yimeng Xu, Caiyang Ye, Wenyao Jiao, Ziyi Dai, Kai Qian
- Year
- 2025
- Citations
- 5
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.
Keywords
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