Journal
IEEE ELECTRON DEVICE LETTERS
Volume 41, Issue 11, Pages 1641-1644Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LED.2020.3025791
Keywords
Optical sensors; Synapses; Transient analysis; Optical imaging; Biomedical optical imaging; Memristors; Sensory synapse; physically transient; in-sensor computing; memristor; secure electronics
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Funding
- National Key Research and Development Program of China [2017YFA0207600]
- National Natural Science Foundation of China [61574107, 61925401, 61674006]
- 111 Project [B18001]
- Beijing Academy of Artificial Intelligence (BAAI)
- Tencent Foundation through the XPLORER PRIZE
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Herein, we demonstrate an artificial optic-neural synapse based on physically transient memristor. The physically transient optic-neural synapse with structure of W/MgO/ZnO/Mo exhibits remarkable long-term plasticity under light with various wavelengths and intensity including the red, green, and blue lights. In addition, a complete electro-thermal resistive switching model accurately simulates the migration and redistribution of oxygen vacancies in the memristor. Importantly, the long-term plasticity can disappear when the devices were immersed in deionized (DI) water, demonstrating the physically transient nature of the device. Finally, an optical convolutional neural network based on the physically transient optic-neural synapse was successfully simulated. These results show that the transient optical synapse has a great prospect for in-sensor computing and secure electronics.
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