Intelligent Computing Technology Based on New Types of Memristors
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microelectronics".
Deadline for manuscript submissions: 15 May 2025 | Viewed by 798
Special Issue Editors
Interests: 2D memristors; MOSFETs
Interests: nanoelectronics; two-dimensional (2D) and one-dimensional (1D) materials; device nanofabrication; characterization; analysis; modeling
Special Issue Information
Dear Colleagues,
Intelligent computing has witnessed remarkable growth in recent years, driven by advancements in unconventional computing paradigms that transcend the traditional von Neumann architecture. Memristors, with their ability to mimic synaptic functions and their unique resistance-switching properties, have emerged as a groundbreaking technology and hold immense potential for next-generation computing architectures. As these devices continue to evolve, they advance the field of intelligent computing, providing opportunities to address the ever-increasing demands for higher efficiency, lower power consumption, and enhanced computational power in artificial intelligence and machine learning applications.
This Special Issue of Electronics aims to compile original research that explores the latest developments in intelligent computing technologies based on new types of memristors. The aim of this Special Issue is to foster a deeper understanding of how memristor-based architecture can revolutionize and impact high-performance computing architecture, promoting breakthroughs in areas such as neuromorphic systems, in-memory computing, and the implementation of AI. The subject of Intelligent Computing Technology Based on New Types of Memristors aligns with the scope of Electronics, which encompasses innovative advancements in electronic systems, devices, and applications. Memristor-based intelligent computing offers innovative solutions to challenges associated with memory storage, data processing, and the development of energy-efficient, scalable architectures. This Special Issue of Electronics addresses the intersection of hardware innovation, computational systems, and their applications in artificial intelligence, machine learning, and neuromorphic computing.
In this Special Issue, original research articles and reviews are welcome. The scope of this Special Issue includes, but is not limited to, the following topics:
- Memristor-based neuromorphic system;
- In-memory computing;
- Memristor for spiking neural networks;
- Hybrid memristor-transistor architectures;
- Modeling and simulation of memristor devices;
- Memristors for edge and IoT applications;
- Emerging materials for memristors;
- Security and reliability in memristor computing systems;
- Artificial intelligence;
- Machine learning.
Dr. Jing Xie
Dr. Ivan Sanchez Esqueda
Guest Editors
Manuscript Submission Information
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Keywords
- memristors
- non-volatile memory
- intelligent computing
- neuromorphic computing
- in-memory computing
- quantum computing
- artificial intelligence
- analog computing
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