The field of artificial intelligence (AI) is advancing rapidly, reshaping the electronics landscape and driving the development of new paradigms in sensing, processing, and information storage. At the heart of this transformation are memristor technologies. These include memristive, memcapacitive, and meminductive nanodevices that extend beyond the limits of conventional CMOS-based circuits. By enabling hybrid and unconventional computing machines, these technologies are paving the way for scalable, energy-efficient systems and the next generation of intelligent electronics.
The 'Recent Advances in Memristor Technologies - MEMRISYS 2025' Research Topic brings together key contributions from the 8th International Conference on Memristive Materials, Devices & Systems (MEMRISYS 2025), taking place on 13 - 16 of October 2025 in Edinburgh, UK. Conference participants are welcome to submit full articles to this Frontiers in Nanotechnology Research Topic, led by Prof Themis Prodromakis (University of Edinburgh), Prof Ilia Valov (RWTH-Aachen), Prof Georgios Sirakoulis (Democritus University of Thrace), and Prof Zhong Sun (Peking University).
Topics of interest include, but are not limited to:
• Fundamentals of memristor technology: theory, materials, devices, circuits and systems
• Design and integration: electronic design automation (EDA), CMOS integration, and system-level approaches
• Memristors for memory and computing: emerging memories, in-memory computing, and unconventional/in-materia computing
• Architectures and applications: hardware accelerators, neuromorphic and bioinspired systems, cellular neural networks, and dynamic/deep neural networks
• Memristor applications in AI, data sensing, signal processing, photonics, spintronics, and quantum computing
• Quantum phenomena in memristor technologies
• Neuromorphic processors and sensors
Further information can be found at the conference website: https://www.memrisys2025.org/Home/Welcome.
Details on article types, article processing charges, and support options available can be found here and here.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
- Brief Research Report
- Editorial
- FAIR² Data
- Methods
- Mini Review
- Original Research
- Perspective
- Review
- Technology and Code
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Keywords: memristors, artificial intelligence, memcapacitive devices, meminductive devices, computing
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.