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All WSe2 1T1R resistive RAM cell for future monolithic 3D embedded memory integration
Maheswari Sivan1, Yida Li2, Hasita Veluri1
1Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore.
Researchers developed a low-temperature 3D integrated memory cell using 2D tungsten diselenide (WSe2) field-effect transistors (FETs) and resistive random-access memory. This approach enhances performance and offers a beyond-silicon solution for future computing.
Area of Science:
- Materials Science
- Electrical Engineering
- Computer Engineering
Background:
- The Von Neumann bottleneck limits computing performance, necessitating 3D monolithic integration of logic and memory.
- Low-temperature processed material systems are crucial for this integration.
- Two-dimensional (2D) materials offer promising electrical properties and low thermal budgets.
Purpose of the Study:
- To demonstrate a low-temperature hybrid co-integration of a 1T1R memory cell using 2D tungsten diselenide (WSe2).
- To enhance the performance of WSe2-based field-effect transistors (FETs) and resistive random-access memory (RRAM).
- To propose a novel device architecture for high-density 3D embedded memory.
Main Methods:
- Fabrication of a hybrid memory cell comprising a surface-functionalized WSe2 p-FET and a solution-processed WSe2 RRAM.
- Utilizing plasma oxidation to achieve low Schottky barrier height and high mobility in the WSe2 p-FET.
- Device-circuit modeling to guide the design of vertically stacked channel FETs.
Main Results:
- Achieved a low Schottky barrier height of 25 meV and mobility of 230 cm^2 V^-1 s^-1 in the WSe2 p-FET, resulting in a 100x performance enhancement.
- The WSe2 RRAM demonstrated a low switching energy of 2.6 pJ per bit.
- Proposed vertically stacked channel FETs for high-density memory cells (<0.01 μm^2).
Conclusions:
- Successfully demonstrated a low-temperature hybrid co-integration of WSe2-based FET and RRAM for memory applications.
- The developed technology offers a significant performance enhancement and low energy consumption for future computing systems.
- This beyond-silicon approach enables 3D embedded memories, addressing the Von Neumann bottleneck.
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