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Residue-Free Fabrication of van der Waals Heterostructures of Two-Dimensional Materials
Published on: July 18, 2025
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Phase-change heterostructure enables ultralow noise and drift for memory operation
Keyuan Ding1,2, Jiangjing Wang3,4, Yuxing Zhou3
1College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, China.
Science (New York, N.Y.)
|August 24, 2019
Summary
Researchers developed a novel phase-change heterostructure (PCH) to reduce noise and drift in phase-change random access memory (PCRAM) devices. This innovation enables reliable neuro-inspired computing by improving data storage and processing precision.
Area of Science:
- Materials Science
- Computer Engineering
- Artificial Intelligence
Background:
- Data-intensive applications like AI increase demand for advanced storage and processing.
- Phase-change random access memory (PCRAM) offers potential for in-memory computing, overcoming the von Neumann bottleneck.
- Existing PCRAM devices suffer from resistance noise and drift, limiting precision and reliability.
Purpose of the Study:
- To design a novel phase-change heterostructure (PCH) to mitigate noise and drift in PCRAM devices.
- To enable reliable iterative RESET and cumulative SET operations for enhanced neuro-inspired computing.
- To provide a materials solution for high-performance computing that is compatible with industrial production.
Main Methods:
- Fabrication of a phase-change heterostructure (PCH) with alternating phase-change and confinement nanolayers.
- Characterization of the PCH architecture's electrical properties, focusing on noise and drift suppression.
- Evaluation of the PCH's performance in iterative RESET and cumulative SET operations for computing applications.
Main Results:
- The PCH architecture effectively suppresses electrical resistance noise and drift in PCRAM devices.
- Reliable iterative RESET and cumulative SET operations were demonstrated, crucial for neuro-inspired computing.
- The PCH design offers an intrinsic materials solution suitable for industrial manufacturing without significant cost increases.
Conclusions:
- The developed PCH architecture addresses key limitations of current PCRAM technology.
- This innovation paves the way for more precise and consistent neuro-inspired computing devices.
- The PCH offers a scalable and cost-effective solution for next-generation data storage and processing.
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