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.
Authors
- Zewen Li
- Fang Wang (ORCID: https://orcid.org/0000-0001-9262-5750)
- Yan Cheng (ORCID: https://orcid.org/0000-0002-0067-2646)
- Kailiang Zhang (ORCID: https://orcid.org/0000-0001-5593-7480)
- Yemei Han (ORCID: https://orcid.org/0000-0001-6840-8676)
- Qing Luo (ORCID: https://orcid.org/0000-0002-3419-4400)
- Li Song (ORCID: https://orcid.org/0000-0002-5668-4689)
- Hongshun Du
- Lei Zheng (ORCID: https://orcid.org/0000-0002-5601-3527)
- Yu Luo (ORCID: https://orcid.org/0000-0002-8452-6856)
- Xianjun chen
Institutions
- Tianjin University of Technology (CN)
- Chinese Academy of Sciences (CN)
- Advanced Materials and Devices (United States) (US)
- East China Normal University (CN)
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
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Tianjin City
- National Key Research and Development Program of China