Q. Wang, C. Zhao, W. Liu, H. Zalinge, Y. Liu, L. Yang, C. Zhao
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引用次数: 1
Abstract
Artificial synapses are the critical component for low-power neuromorphic computing, which surpasses the limitations of von Neumann’s structure. Compared with two-terminal memristors and three-terminal transistors with wire formation and charge trapping mechanisms, the emerging electrolytic gated transistor (EGT) has proven to be a promising neuromorphic application due to its outstanding analog switching performance. Candidate. This paper presents a new low-temperature solution-based oxide thin film transistor, which uses an ion-doped dielectric layer. The device also has a low-noise linear conductance update and a relatively high Gmax/Gmin. The realization of ANN neuromorphic calculation has nearly ideal accuracy. These results highlight the potential of EGT based on AlOx-Li/InOx thin-film transistors in the next generation of low-power electronics outside of the von Neumann architecture.