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Published on: May 13, 2020
Multi-Bit Resistive Random-Access Memory Based on Two-Dimensional MoO3 Layers.
Kai Liu1, Wengui Jiang1, Liang Zhou1
1Beijing Key Laboratory for Magneto-Photoelectrical Composite and Interface Science, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.
Two-dimensional layered metal oxides offer advanced resistive random-access memory (RRAM) for neuromorphic computing. Graphene integration significantly improved RRAM retention time, enabling robust computing-in-memory applications.
Area of Science:
- Materials Science
- Nanotechnology
- Electrical Engineering
Background:
- Two-dimensional (2D) materials offer unique advantages for resistive random-access memory (RRAM), including atomic-scale thickness and ultra-flat surfaces.
- 2D layered metal oxides combine RRAM benefits with the low cost and stability of traditional metal oxides.
- RRAM is crucial for advancing neuromorphic computing and computing-in-memory architectures.
Purpose of the Study:
- To fabricate and characterize a 2D α-MoO3-based RRAM device using a multi-step dry transfer process.
- To investigate the impact of electrode materials on RRAM performance, particularly retention time.
- To enhance the data retention capabilities of 2D material-based RRAM for practical applications.
Main Methods:
- Fabrication of a Pd-MoO3-Ag RRAM device with 2D α-MoO3 as the resistive switching layer.
- Resistive switching tests to evaluate operational stability, write voltage, switching ratio, and multi-bit storage.
- Development of a Gr-MoO3-Ag heterostructure by replacing the Pd electrode with graphene to improve retention time.
Main Results:
- The Pd-MoO3-Ag RRAM device demonstrated excellent operational stability, low write voltage (~0.5 V), high switching ratio (>10^6), and multi-bit storage (≥3 bits).
- The initial device exhibited a limited retention time of approximately 2000 seconds.
- The Gr-MoO3-Ag heterostructure showed a fivefold improvement in retention time, exceeding 10^4 seconds.
Conclusions:
- Controlling the type and thickness of 2D materials and resistive switching layers is key to optimizing RRAM performance.
- Graphene integration as an electrode material significantly enhances the data retention of 2D material-based RRAM.
- These findings pave the way for developing RRAM devices with both high On/Off ratios and long-term data retention for advanced computing applications.
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