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Measuring Magnetically-Tuned Ferroelectric Polarization in Liquid Crystals
Published on: August 15, 2018
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Controlling Long-Term Plasticity in Neuromorphic Computing Through Modulation of Ferroelectric Polarization.
Donghwa Lee1, Junho Sung1, Minhui Kim2
1Department of Chemical and Biomolecular Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.
ACS Applied Materials & Interfaces
|October 17, 2024
Summary
This study introduces a novel polyvinylidene fluoride (PVDF)-based synaptic device for neuromorphic computing. The ferroelectric polymer enables long-term plasticity (LTP) and enhances nonvolatile memory properties in electrolyte-gated transistors (EGTs).
Area of Science:
- Materials Science
- Neuroscience
- Computer Engineering
Background:
- Electrolyte-gated transistors (EGTs) show promise for neuromorphic computing by mimicking neurotransmission.
- Achieving long-term plasticity (LTP) in EGTs is challenging due to rapid electric double-layer (EDL) depolarization.
- Existing research on ferroelectric materials for synaptic devices primarily focuses on biological functions, neglecting nonvolatile memory applications.
Purpose of the Study:
- To develop a polyvinylidene fluoride (PVDF)-based ion-gel synaptic device capable of implementing LTP.
- To investigate the impact of ferroelectric materials on nonvolatile memory properties in synaptic devices.
- To demonstrate the potential of this device for neuromorphic computing applications.
Main Methods:
- Fabrication of a synaptic device using polyvinylidene fluoride (PVDF) and poly(vinylidene fluoride-co-hexafluoropropylene) (P(VDF-HFP)) ion gel.
- Utilizing the residual polarization of PVDF-based polymers to control ion adsorption and slow anion escape.
- Implementing and testing synaptic functions such as LTP, paired pulse facilitation (PPF), high-pass filtering, and neurotransmitter control.
Main Results:
- The PVDF-based synaptic device successfully demonstrated LTP by controlling ion adsorption.
- The device exhibited key synaptic functions, including PPF, high-pass filtering, and neurotransmitter control.
- High recognition rates were achieved in artificial/convolutional neural network (A/CNN) simulations using ferroelectric polarization for LTP/D.
Conclusions:
- Introduction of PVDF-based polymers into the dielectric layer provides a rational strategy for ion adsorption via ferroelectric polarization.
- The developed synaptic device shows significant potential for advancing neuromorphic computing and nonvolatile memory technologies.
- This work bridges the gap between ferroelectric material research and practical synaptic device applications.
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