Memristor Device and Memristive System
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microelectronics".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 5
Special Issue Editors
Interests: memristive neural networks; modeling of memristive devices; spiking neural networks; neuromorphic computing
2. Engineering Department, University of Messina, 98122 Messina, Italy
Interests: spiking neural networks; neuromorphic computing; neurosimulation; computational neuroscience
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue of Electronics, entitled “Memristor Device and Memristive System”, is dedicated to both theory and applications of memristors and memristive devices and systems, especially in the domain of brain-inspired computing, i.e., neuromorphic computing. Starting with the theoretical foundations for the fourth fundamental circuit element, postulated in the work of Prof. Leon Chua in 1971, followed by an influential paper from 2008 by the HP Labs group led by Stanley Williams, memristors continue to attract extensive research interest. With the ability to support multilevel resistance states, inherent plasticity, high scalability potential, and energy-efficient operation modes, memristive devices are promising building blocks in neuromorphic computing.
This Special Issue aims to collate original research papers in the domain of mathematical models of memristive devices (including memristors, memcapacitors, and meminductors), design and application of memristive circuits, ReRAM, memristive-based neurons and synapses, training algorithms for memristive neural networks (MNNs) and memristive spiking neural networks (MSNN), neuromorphic computing, and the design and application of bio-inspired computing architectures.
Research areas of interest within this Special Issue include, but are not limited to, the following:
- Training algorithms for memristive neural networks and memristive spiking neural networks;
- Theoretical modeling of memristive devices;
- Artificial neural networks based on memristors;
- Memristive neuron and synapse for SNNs and MSNNs;
- Unconventional computing with memristors;
- Neuromorphic circuits;
- Bio-inspired algorithms and systems;
- In-memory computing;
- Applications of memristors in AI;
- Complex networks with memristors;
- Application of memristive circuits in biomedical engineering.
Dr. Nataša Samardžić
Dr. Max Talanov
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- memristive devices
- memristive neural networks
- theoretical models
- neuromorphic computing
- memristive neurons and synapses
- spiking neural networks
- memristive circuits
- bio-inspired algorithms
- nonlinear circuits
- in-memory computing
- complex networks
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
