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Updated: Sep 23, 2025
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In Vitro Multiparametric Cellular Analysis by Micro Organic Charge-modulated Field-effect Transistor Arrays
Published on: September 20, 2021
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A wide-range operating synaptic device based on organic ferroelectricity with low energy consumption
Li Tu1, Sijian Yuan1, Jiawei Xu1
1State Key Laboratory of ASIC and System, SIST, Fudan University 200433 Shanghai China yqzhan@fudan.edu.cn lrzheng@fudan.edu.cn.
RSC Advances
|May 11, 2022
Summary
Researchers developed a novel organic ferroelectric synaptic device. This low-energy device mimics brain functions, improving image recognition accuracy in neuromorphic networks.
Area of Science:
- Materials Science
- Neuroscience
- Electronics
Background:
- Synaptic devices are crucial for artificial intelligence and neuromorphic computing.
- Organic ferroelectric materials offer promising properties for next-generation electronics.
Purpose of the Study:
- To demonstrate a wide-range operating synaptic device utilizing organic ferroelectricity.
- To investigate the device's synaptic functions and potential for image recognition.
Main Methods:
- Fabrication of a two-terminal device using a ferroelectric phase-separated polymer blend.
- Characterization of resistive switching behavior, energy consumption, and synaptic functions (potentiation, depression).
- Simulation of image recognition accuracy using a classical model (Cifar-10).
Main Results:
- The device exhibits history-dependent resistive switching at room temperature.
- Achieved low energy consumption of approximately 50 fJ μm⁻² per synaptic event.
- Improved image recognition accuracy from 76.21% to 85.06% in simulations with 1024 device levels.
Conclusions:
- The organic ferroelectric synaptic device reliably performs essential synaptic functions.
- The device shows significant potential for enhancing performance in memristive neuromorphic networks for image recognition.
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