Low Subthreshold Swing Enables High Synaptic Weight Gains based on Channel-Side Gate Dependent Electrolyte Transistors FET Design

With the development of IoT and AI technologies, brain-like synaptic devices with precise weight modulation of synaptic plasticity and controllable preparation are of great significance for developing neuromorphic computing and intelligent sensing technologies. In this paper, we design a series of side-gate electrolyte transistors with varying gate-channel distances and systematically examine the structural design effect on synaptic weight modulation. A synaptic transistor device with an ultra-low subthreshold swing of 89.8 mV/dec has been successfully achieved by optimizing the gate-channel design. Additionally, Further characterizations of the short-term synaptic plasticity and long-term synaptic plasticity of synaptic transistors uncover the flexible modulation of the gate-channel distance-dependent synaptic weight gain behaviors, which span from as low as 6.1 to as high as 87.5 under 50 successive stimuli. The results of this work provide a reliable solution for the design and preparation of high-performance synaptic devices and lay the foundation for high-precision neural networks and intelligent sensing technologies.

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Published
2024-11-18
DOI
https://doi.org/10.1109/sslchinaifws64644.2024.10835305
Primary Topic
Advanced Memory and Neural Computing
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article
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article

Low Subthreshold Swing Enables High Synaptic Weight Gains based on Channel-Side Gate Dependent Electrolyte Transistors FET Design

Qiming Gong, Hao Zheng, Fei Wang, Mengjiao Li
Advanced Memory and Neural Computing
article

Low Subthreshold Swing Enables High Synaptic Weight Gains based on Channel-Side Gate Dependent Electrolyte Transistors FET Design

Qiming Gong, Hao Zheng, Fei Wang, Mengjiao Li
article en

Abstract

With the development of IoT and AI technologies, brain-like synaptic devices with precise weight modulation of synaptic plasticity and controllable preparation are of great significance for developing neuromorphic computing and intelligent sensing technologies. In this paper, we design a series of side-gate electrolyte transistors with varying gate-channel distances and systematically examine the structural design effect on synaptic weight modulation. A synaptic transistor device with an ultra-low subthreshold swing of 89.8 mV/dec has been successfully achieved by optimizing the gate-channel design. Additionally, Further characterizations of the short-term synaptic plasticity and long-term synaptic plasticity of synaptic transistors uncover the flexible modulation of the gate-channel distance-dependent synaptic weight gain behaviors, which span from as low as 6.1 to as high as 87.5 under 50 successive stimuli. The results of this work provide a reliable solution for the design and preparation of high-performance synaptic devices and lay the foundation for high-precision neural networks and intelligent sensing technologies.

Shanghai University (CN)
Affordable and clean energy
Openalex Percentile: Top 76%
Advanced Memory and Neural Computing
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