Reconfigurable Al<sub>2</sub>O<sub>3</sub>-Based Memristor for All-in-One Artificial Synapse and Nociceptor Neurons

Multifunctional bionic devices have widespread applications in neuromorphic computing, intelligent sensors, and robotics. The inherent properties of memristors make them suitable for these emerging applications, but different applications require either volatile or nonvolatile operations in a unique device. In this work, we have developed a novel reconfigurable Ag/Al<sub>2</sub>O<sub>3</sub>/ITO memristor, which achieves adjustable switching behavior between volatile switching and nonvolatile switching by modulating the compliance current. A proposed mechanism controls the state of the conductive filaments in the device by adjusting compliance current, elucidating the adjustable switching process between volatile and nonvolatile states. Additionally, the synaptic functionality and nociceptor characteristics, including threshold, relaxation, inadaptation, and sensitization, have been successfully simulated. This integration of artificial synaptic and nociceptor functions into a single device is achieved, with the single-pulse power consumption of the nociceptor reaching as low as 0.912 nJ when the threshold is reached. These results provide insights into the construction of multifunctional bionic devices and demonstrate significant potential for future neuromorphic network applications.

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Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2025-03-07
DOI
https://doi.org/10.1021/acs.jpclett.5c00184
Citations
9
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
6.57

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article

Reconfigurable Al2O3-Based Memristor for All-in-One Artificial Synapse and Nociceptor Neurons

Zewen Li, Fang Wang, Yan Cheng, Kailiang Zhang et al.
9 citations
The Journal of Physical Chemistry Letters
Advanced Memory and Neural Computing
6.57
article

Reconfigurable Al2O3-Based Memristor for All-in-One Artificial Synapse and Nociceptor Neurons

Zewen Li, Fang Wang, Yan Cheng, Kailiang Zhang, Yemei Han, Qing Luo, Li Song, Hongshun Du, Lei Zheng, Yu Luo, Xianjun chen
article en
9 citations

Abstract

Multifunctional bionic devices have widespread applications in neuromorphic computing, intelligent sensors, and robotics. The inherent properties of memristors make them suitable for these emerging applications, but different applications require either volatile or nonvolatile operations in a unique device. In this work, we have developed a novel reconfigurable Ag/Al<sub>2</sub>O<sub>3</sub>/ITO memristor, which achieves adjustable switching behavior between volatile switching and nonvolatile switching by modulating the compliance current. A proposed mechanism controls the state of the conductive filaments in the device by adjusting compliance current, elucidating the adjustable switching process between volatile and nonvolatile states. Additionally, the synaptic functionality and nociceptor characteristics, including threshold, relaxation, inadaptation, and sensitization, have been successfully simulated. This integration of artificial synaptic and nociceptor functions into a single device is achieved, with the single-pulse power consumption of the nociceptor reaching as low as 0.912 nJ when the threshold is reached. These results provide insights into the construction of multifunctional bionic devices and demonstrate significant potential for future neuromorphic network applications.

The Journal of Physical Chemistry LettersVol. 16(11)
Tianjin University of Technology (CN), Chinese Academy of Sciences (CN), Advanced Materials and Devices (United States) (US), East China Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Tianjin City, National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 3%
Advanced Memory and Neural Computing
6.57
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