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Updated: Jan 10, 2026
09:49
In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
Published on: May 13, 2020
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Non-Perturbative Oxygen Vacancy Mapping via Independently-Contacted, Reciprocally-Switching Double-Layer ECRAM for
Seungmin Han1, Hyunjeong Kwak1, Jungho Lee2
1Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.
Small (Weinheim an Der Bergstrasse, Germany)
|November 24, 2025
Summary
A new double-layer ECRAM (IRIS-ECRAM) visualizes oxygen vacancy migration, revealing opposing switching behaviors and enabling device optimization for neuromorphic computing and analog in-memory applications.
Area of Science:
- Materials Science
- Nanotechnology
- Solid-State Electronics
Background:
- Electrochemical control of ion migration is crucial for memristors and neuromorphic devices.
- Oxygen-ion-based ECRAMs are promising for analog in-memory computing due to low variability and high accuracy.
- Conventional ECRAM designs limit real-time visualization of ion migration paths, hindering optimization.
Purpose of the Study:
- To introduce a novel ECRAM design for direct mapping of ion migration.
- To enable simultaneous measurement of conductance changes in channel and reservoir layers.
- To investigate the dynamics of oxygen vacancy migration in a double-layer device.
Main Methods:
- Development of an independently-contacted, reciprocally-switching double-layer ECRAM (IRIS-ECRAM).
- Simultaneous measurement of conductance changes in both channel and reservoir layers.
- Demonstration of array-level operation to confirm scalability.
Main Results:
- Direct mapping of oxygen vacancy migration paths within the device.
- Observation of opposing switching behaviors between the channel and reservoir layers.
- Identification of the electrolyte's role as a temporary reservoir for ions.
Conclusions:
- The IRIS-ECRAM platform allows direct visualization and understanding of ionic dynamics.
- The design facilitates structural optimization of ECRAMs for improved performance.
- This approach is applicable to various ECRAM structures and advances neuromorphic engineering.
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