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Spray-Coated Melanin/PEDOT:PSS Films for Sustainable Organic Electrochemical Transistors
Published on: October 28, 2025
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High performance organic nonvolatile flash memory transistors with high-resolution reduced graphene oxide patterns as
Dae Sung Chung1, Sung Min Lee, Jang Yeol Back
1School of Chemical Engineering and Materials Science, Chung-Ang University , Seoul 156-756, Republic of Korea.
ACS Applied Materials & Interfaces
|May 22, 2014
Summary
Novel organic nonvolatile memory transistors (ONVMTs) utilize patterned reduced graphene oxide (rGO) for enhanced data retention. Narrower rGO patterns significantly improve memory stability and retention time, crucial for advanced electronic devices.
Area of Science:
- Materials Science
- Organic Electronics
- Nanotechnology
Background:
- Organic nonvolatile memory transistors (ONVMTs) are crucial for next-generation electronics.
- Existing ONVMTs face challenges with data retention and stability.
- Reduced graphene oxide (rGO) shows promise as a charge-trapping material.
Purpose of the Study:
- To develop high-performance ONVMTs with improved nonvolatile memory characteristics.
- To investigate the impact of reduced graphene oxide (rGO) patterning on memory performance.
- To optimize the structure of ONVMTs for enhanced data retention.
Main Methods:
- Fabrication of ONVMTs using a conductive polymer semiconductor, a hydroxyl-free polymer dielectric, and patterned rGO floating gates.
- Integration of finely patterned rGO (20-120 μm line width) between SiO2 and the polymer dielectric.
- Characterization of memory behavior, transfer characteristics, and retention times under varying rGO line widths.
Main Results:
- The fabricated ONVMTs exhibited ideal memory behavior with prompt response to gate bias.
- Memory retention time increased significantly with reduced rGO line width.
- A 20-μm-wide rGO pattern enabled a large memory window (>20 V) retained for over 5 × 10^5 seconds.
Conclusions:
- Patterning of rGO is a critical factor for suppressing charge release and enhancing memory retention in ONVMTs.
- The developed ONVMTs demonstrate superior performance and long-term stability.
- This approach offers a promising pathway for high-performance organic memory devices.
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