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Van der Waals Engineering of One-Transistor-One-Ferroelectric-Memristor Architecture for an Energy-Efficient
Yinchang Ma1, Maolin Chen1, Fernando Aguirre2
1Physical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia.
Nano Letters
|February 3, 2025
Summary
This study introduces a new method for building efficient two-dimensional memristor arrays for artificial intelligence. The novel van der Waals engineering approach creates compact, low-power memory cells with reduced sneak currents.
Area of Science:
- Materials Science
- Nanotechnology
- Solid State Physics
Background:
- Two-dimensional (2D) material-based memristor arrays are crucial for data-centric applications like AI.
- Challenges include individual cell access and controlling sneak currents in these arrays.
Purpose of the Study:
- To develop a van der Waals engineering approach for creating one-transistor-one-memristor (1T1M) cells.
- To address challenges in accessing individual memristor cells and managing sneak current paths.
Main Methods:
- Assembling 2D ferroelectric CuCr2S6 with MoS2 and h-BN using van der Waals engineering.
- Fabricating one-transistor-one-memristor (1T1M) cells.
- Demonstrating a neuromorphic array with reduced crosstalk.
Main Results:
- Achieved high resistance tunability (10^6) and extremely low sneak current (120 fA).
- Demonstrated low static power consumption (12 fW).
- Experimental validation of a neuromorphic array with significantly reduced crosstalk.
Conclusions:
- The van der Waals engineering approach provides a universal solution for 2D in-memory computing systems.
- The developed 1T1M cells are compact and energy-efficient, suitable for next-generation artificial neural networks.
- Electric-field-induced ferroelectric polarization reversal drives the nonvolatile resistance switching.
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