Integration of Emerging Memory and Neuromorphic Architecture Chips
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Semiconductor Devices".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 62
Special Issue Editors
Interests: CMOS; emerging memory; neuromorphic chip
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the explosive growth of data in the era of artificial intelligence and cloud computing, traditional storage and computing architectures are increasingly strained in terms of efficiency, scalability, and energy consumption. In response to these challenges, emerging storage technologies—such as non-volatile memory, in-memory computing, and neuromorphic computing—are garnering significant attention due to their potential to revolutionize data processing paradigms. Notably, the convergence of storage and computing, known as “computing-in-memory”, has become a promising approach to overcome the limitations of the von Neumann bottleneck and to enable high-speed, energy-efficient data processing.
This Special Issue aims to provide a platform for researchers, engineers, and practitioners to share the latest advances and insights in novel storage technologies and their applications in computing–storage integration. By bringing together innovative works on materials, architectures, systems, and applications, we seek to promote cross-disciplinary collaboration and stimulate progress in this rapidly evolving field.
We welcome original research articles and comprehensive reviews on topics including, but not limited to, the following:
- New non-volatile memory materials and device technologies;
- Architectures and systems for in-memory and in-storage computing;
- Storage-class memory applications in AI and edge computing;
- Data-intensive computing with emerging storage technologies;
- Neuromorphic and bio-inspired storage systems;
- Reliability, endurance, and performance optimization of new memory devices;
- Hardware–software co-design for computing–storage integration.
We look forward to receiving your valuable contributions.
Dr. Yi Zhao
Dr. De Ma
Guest Editors
Manuscript Submission Information
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Keywords
- emerging storage technologies
- in-memory computing
- non-volatile memory
- storage–computing integration
- neuromorphic storage systems
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