Related Experiment Video
Updated: Jan 15, 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
4.4K
Phase-Change Materials for Volatile Threshold Resistive Switching and Neuronal Device Applications.
Huandong Chen1, Jayakanth Ravichandran1,2,3
1Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, 90089, USA.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|October 8, 2025
Summary
Phase-change materials exhibiting volatile resistive switching and neuronal oscillations are advancing neuromorphic computing. This review covers VO2, 1T-TaS2, and BaTiS3 for brain-inspired computing applications.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Neuroscience
Background:
- Phase-change materials with metal-to-insulator transitions offer unique properties for computing.
- Volatile resistive switching and neuronal oscillations are key for emulating brain functions.
- These materials are crucial for developing advanced neuromorphic computing systems.
Purpose of the Study:
- To review recent advancements in volatile resistive switching devices and neuronal oscillators.
- To explore materials like VO2, 1T-TaS2, and BaTiS3 for neuromorphic applications.
- To discuss challenges and future directions in phase-change material-based computing.
Main Methods:
- Review of existing literature on volatile resistive switching and neuronal oscillations.
- Analysis of materials development and device implementation for VO2, 1T-TaS2, and BaTiS3.
- Discussion of technological readiness and practical application challenges.
Main Results:
- VO2, 1T-TaS2, and BaTiS3 show promise for volatile switching and neuronal oscillation emulation.
- Progress has been made in both materials science and device engineering.
- Key challenges for practical application have been identified.
Conclusions:
- Phase-change materials are vital for next-generation neuromorphic computing.
- Further research is needed to overcome challenges in materials and device implementation.
- The field is rapidly evolving with significant potential for future breakthroughs.
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