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Updated: Sep 30, 2025
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In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
Published on: May 13, 2020
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Ultrahigh-Speed In-Memory Electronics Enabled by Proximity-Oxidation-Evolved Metal Oxide Redox Transistors
Mohit Kumar1,2, Unjeong Kim1, WangGon Lee1
1Department of Energy Systems Research, Ajou University, Suwon, 16499, Republic of Korea.
Advanced Materials (Deerfield Beach, Fla.)
|March 15, 2022
Summary
Researchers developed an ultrafast redox thin-film transistor (ReTFT) for in-memory computing. This novel device enables efficient data storage and processing, paving the way for advanced neuromorphic hardware applications.
Area of Science:
- Materials Science and Engineering
- Electrical Engineering
- Computer Science
Background:
- Achieving universal devices for nonvolatile multilevel storage, ultrafast speeds, nondestructive readout, and low-power embedded processing is crucial for in-memory computing.
- While thin-film transistors and redox-based resistive-switching devices show promise individually, integrating well-controlled multilevel memory and high-precision processing remains a challenge.
Purpose of the Study:
- To develop an innovative thin-film transistor architecture capable of combining advanced memory and processing functionalities for in-memory computing.
- To explore the potential of this new device for large-scale hardware implementation and prospective applications in neuromorphic hardware.
Main Methods:
- Fabrication of a programmable redox thin-film transistor (ReTFT) using a proximity-oxidation-grown TiO2 layer.
- Characterization of the ReTFT's performance, including on/off ratio, retention time, durability, and reliability.
- Development and testing of ReTFT-based circuits for fundamental logic operations (NOT, AND, OR) and memory-processing tasks.
Main Results:
- Demonstrated an ultrafast (≈42 ns) ReTFT with an on/off ratio of 10^5, exhibiting nonvolatile multilevel analog storage with long retention.
- Successfully implemented proof-of-concept ReTFT circuits for reconfigurable logic-in-memory operations (NOT, AND, OR).
- Explored advanced memory-processing functions including multi-terminal addressable memory, learning, pattern recognition, and classification.
Conclusions:
- The developed ReTFT offers a promising alternative solution for high-performance in-memory processing technology.
- This device presents a fundamentally different mechanism, addressing key challenges in creating efficient and integrated computing hardware.
- The ReTFT's capabilities are well-suited for prospective applications in neuromorphic hardware and advanced computing systems.
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