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In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
Published on: May 13, 2020
Digital and analog functionality in monolayer AlOx-based memristors with various oxidizer sources
Xuepeng Zhan1,2, Guoqing Zhao1, Xiaolin Yu3
1School of Information Science and Engineering (ISE), Shandong University, Qingdao, People's Republic of China.
Researchers developed a new method for creating monolayer memristors with both digital and analog resistive switching. This advancement is key for developing advanced neuromorphic computing and storage solutions.
Area of Science:
- Materials Science
- Nanotechnology
- Electrical Engineering
Background:
- Memristors offer significant advantages for neuromorphic computing and advanced storage applications.
- Achieving diverse resistive switching behaviors in monolayer memristors is crucial for understanding device physics and creating fully memristive devices.
Purpose of the Study:
- To propose a simple and feasible method for achieving both digital and analog resistive switching in Cu/AlOx/Ag monolayer memristors.
- To investigate the underlying mechanisms responsible for the observed resistive switching behaviors.
Main Methods:
- Utilized atomic layer deposition with ozone and water precursors to fabricate Cu/AlOx/Ag memristors.
- Employed surface topography, Raman spectroscopy, and electrical measurements for characterization.
- Analyzed the migration and diffusion of metal ions within the AlOx dielectric layer.
Main Results:
- Successfully demonstrated digital and analog resistive switching in monolayer memristors.
- Attributed the transition between abrupt and gradual switching to metal ion migration in a less dense, rougher, and more amorphous AlOx film.
- Emulated key synaptic behaviors like long-term potentiation/depression and paired-pulse facilitation in analog memristors.
Conclusions:
- The developed method enables versatile resistive switching in monolayer memristors.
- This work represents a significant advancement towards sophisticated, multi-functional, and large-scale integrated neuromorphic devices.
- The findings contribute to the development of next-generation memory and computing technologies.
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