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Chitosan-Based Flexible Memristors with Embedded Carbon Nanotubes for Neuromorphic Electronics
1Department of Electronic Materials Engineering, Kwangwoon University, Gwangun-ro 20, Nowon-gu, Seoul 01897, Korea.
Micromachines
|October 23, 2021
Summary
High-performance flexible memristors using chitosan and single-walled carbon nanotubes (SWCNTs) show improved memory window and synaptic plasticity for neuromorphic electronics.
Area of Science:
- Materials Science
- Electronics Engineering
- Nanotechnology
Background:
- Neuromorphic electronics require advanced memristive devices for artificial synaptic applications.
- Flexible and transparent memristors are crucial for next-generation electronic systems.
- Chitosan and single-walled carbon nanotubes (SWCNTs) offer promising properties for electronic materials.
Purpose of the Study:
- To develop high-performance chitosan-based flexible memristors with embedded SWCNTs.
- To investigate the effect of SWCNTs on the bipolar resistive switching (BRS) characteristics.
- To evaluate the memristive properties for artificial synaptic applications.
Main Methods:
- Fabrication of flexible memristors on a polyethylene naphthalate (PEN) substrate using low-temperature solution processing.
- Analysis of bipolar resistive switching (BRS) behavior attributed to cation-based electrochemical reactions.
- Characterization of SWCNT-embedded chitosan nanocomposite memristors for memory window and synaptic plasticity.
Main Results:
- SWCNT-embedded chitosan memristors exhibited enhanced BRS behavior with a wider memory window (14.98) compared to non-SWCNT devices (6.39).
- SWCNTs facilitate conductive filament formation by absorbing metal ions, leading to improved device stability.
- Demonstrated short-term and long-term plasticity, including paired-pulse facilitation and spike-timing-dependent plasticity.
Conclusions:
- SWCNT-embedded chitosan memristors are a promising material for artificial synaptic electronics.
- The proposed devices offer enhanced performance and stability for neuromorphic computing.
- Low-temperature solution processing enables scalable fabrication of these flexible electronic components.

