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Sodium-based nano-ionic synaptic transistor with improved retention characteristics
Kyumin Lee1, Jongwon Lee1, Revannath Dnyandeo Nikam1
1Center for Single Atom-based Semiconductor Device and Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
Nanotechnology
|July 30, 2020
Summary
We developed a sodium ion-based synaptic transistor (NST) that significantly improves state retention compared to lithium ion-based versions. This advancement addresses retention instability in synaptic transistors by reducing ion diffusivity for better performance.
Area of Science:
- Materials Science
- Solid-State Electronics
- Neuro-inspired Computing
Background:
- Ionic synaptic transistors face challenges with retention instability due to high ionic diffusivity.
- Lithium ion-based synaptic transistors (LSTs) exhibit poor state retention, limiting their practical application.
- Understanding ion transport mechanisms is crucial for developing stable synaptic devices.
Purpose of the Study:
- To propose and investigate an all-solid-state sodium ion-based synaptic transistor (NST) as a solution to the low retention problem in LSTs.
- To analyze the root cause of retention instability in ionic synaptic transistors.
- To demonstrate improved synaptic behaviors through material engineering in the proposed NST.
Main Methods:
- Fabrication of an all-solid-state sodium ion-based synaptic transistor (NST).
- Cyclic voltammetry analysis to compare ionic diffusivity of Na+ and Li+ ions in a WOx layer.
- Characterization of synaptic behaviors, including state retention, weight update linearity, and I-V characteristics.
Main Results:
- Na ions exhibit lower ionic diffusivity than Li ions in the WOx layer, confirmed by cyclic voltammetry.
- The NST demonstrated a state retention improvement of up to 20 times compared to the LST.
- Near-ideal synaptic behaviors, including linear weight updates and linear current-voltage (I-V) characteristics, were achieved.
Conclusions:
- The proposed all-solid-state NST effectively overcomes the retention instability issue inherent in LSTs.
- Reduced ionic diffusivity of Na ions in the WOx layer is key to enhanced state retention.
- Material engineering in NSTs enables high-performance synaptic devices with potential for neuromorphic computing applications.
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