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Updated: May 28, 2026

In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
Published on: May 13, 2020
Using post-breakdown conduction study in a MIS structure to better understand the resistive switching mechanism in an
Xing Wu1, Kin-Leong Pey, Nagarajan Raghavan
1gineering Product Development Pillar, Singapore University of Technology and Design, 20 Dover Drive, Singapore 138682, Singapore.
Researchers explain resistive switching in RRAM devices by drawing parallels with the physics of failure in high-κ dielectric logic transistors. Breakdown mechanisms like oxygen vacancies and metal migration are key to RRAM
Area of Science:
- Solid State Physics
- Materials Science
- Electrical Engineering
Background:
- Conventional logic transistors with metal-insulator-semiconductor (MIS) structures exhibit failure mechanisms in the post-breakdown regime.
- Resistive Random-Access Memory (RRAM) technology utilizes metal-insulator-metal (MIM) stacks for non-volatile memory applications.
Purpose of the Study:
- To interpret the resistive switching mechanism in RRAM devices.
- To establish an analogy between the breakdown physics of logic transistors and the filamentation physics in RRAM.
Main Methods:
- Applying the understanding of failure physics in high-κ dielectric logic transistors.
- Analyzing the post-breakdown regime of MIS structures.
- Investigating metal-insulator-metal (MIM) stacks in RRAM.
Main Results:
- Oxygen vacancies, gate metal migration, and metal filament formation in the dielectric are identified as key mechanisms.
- These breakdown-related phenomena in logic gates are analogous to the SET process in RRAM.
- Filament formation physics in resistive memory is linked to dielectric breakdown.
Conclusions:
- The physics of failure in conventional logic transistors provides a framework for understanding RRAM resistive switching.
- Understanding dielectric breakdown is crucial for optimizing RRAM performance.
- This cross-disciplinary approach offers new insights into non-volatile memory mechanisms.
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