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Published on: May 13, 2020
Nonvolatile Logic and Ternary Content-Addressable Memory Based on Complementary Black Phosphorus and Rhenium
Xiong Xiong1, Jiyang Kang2, Shiyuan Liu1
1Institute of Microelectronics and Key Laboratory of Microelectronic Devices and Circuits (MOE), Peking University, Beijing, 100871, China.
Researchers developed novel nonvolatile logic circuits using 2D materials like black phosphorus and rhenium disulfide. This breakthrough offers simplified, low-power computing solutions for data-intensive tasks beyond traditional silicon limitations.
Area of Science:
- Materials Science
- Electrical Engineering
- Computer Engineering
Background:
- In-memory computing is crucial for data-intensive tasks beyond the Moore era.
- Traditional silicon CMOS technology faces limitations in device complexity and footprint for in-memory computing.
- 2D material-based heterostructures offer advantages for simplified, low-power logic functions.
Purpose of the Study:
- To realize hardware for in-memory computing using 2D materials.
- To develop nonvolatile logic circuits with reduced complexity and power consumption.
- To demonstrate advanced memory cells for efficient data processing.
Main Methods:
- Utilized a charge-trapping mechanism between black phosphorus (BP) channel and phosphorus oxide (POx) layer.
- Fabricated nonvolatile CMOS logic circuits using 2D BP and rhenium disulfide (ReS2).
- Demonstrated Schmidt-like flip-flops and four-transistor (4T) nonvolatile ternary content-addressable memory (nvTCAM) cells.
Main Results:
- Achieved a high voltage gain of ≈275 in the nonvolatile CMOS logic circuit.
- Demonstrated a Schmidt-like flip-flop using only two transistors, significantly fewer than conventional designs.
- Showcased 4T nvTCAM cells with high resistance ratios (≈10^3) and zero standby power.
- Confirmed back-end-of-line compatibility for the nvTCAM cells.
Conclusions:
- 2D material-based heterostructures, specifically BP and ReS2, enable efficient in-memory computing hardware.
- The developed nonvolatile circuits offer reduced transistor count, complexity, and power consumption compared to silicon.
- The demonstrated nvTCAM cells present a promising solution for parallel data search with enhanced efficiency and zero standby power.
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