Nanomaterials-Based Memristors for Neuromorphic Systems
A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Nanoelectronics, Nanosensors and Devices".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 20
Special Issue Editors
Interests: oxide materials and devices; neuromorphic computing; resistive switching devices and applications
Interests: optoelectronic devices; computer vision system; in-sensor neuromorphic computing
Interests: optoelectronic devices and integration; memristor-based neuromorphic computing; nanomaterials-based photodetectors
Special Issue Information
Dear Colleagues,
Neuromorphic computing, inspired by the architecture and efficiency of biological neural networks, holds immense potential to revolutionize artificial intelligence and energy-efficient computing. Memristors, as emerging non-volatile memory devices, are pivotal to this paradigmatic shift due to their ability to emulate synaptic plasticity and enable neural behavior. The integration of nanomaterials, including metal oxides, 2D materials, organic polymers, and hybrid nanostructures, into a memristor design has unlocked unprecedented opportunities to enhance device performance, scalability, and functionality.
This Special Issue of Nanomaterials focuses on cutting-edge advancements in nanomaterials-based memristors for neuromorphic systems and applications, including optimization in nanomaterial synthesis, innovations in device design and fabrication, and the design of neuromorphic architectures and systems for the hardware implementation of biological behaviors. So far, multifarious nanomaterial-based neuromorphic devices have been proposed and utilized in applications in constructing bio-inspired artificial systems with complex biological functions.
We invite researchers to contribute original research and review articles, highlighting the synergy between nanomaterials science and neuromorphic engineering and bridging material innovation with system-level applications. Potential topics include but are not limited to the following: nanomaterials-based two-terminal memristors or three-terminal memtransistors; memristor design and integration; memristor-based neuromorphic computing applications and systems; architecture design for memristor-based neuromorphic computing system and simulation; the hardware demonstration of neuromorphic systems with memristor chips; memristor-based neuromorphic computing platform with functional nanomaterials; etc.
Prof. Dr. Lifeng Liu
Dr. Zheng Zhou
Dr. Yulin Feng
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. Nanomaterials 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
- nanomaterials
- memristor
- neuromorphic computing
- bionic system
- architecture
- bio-inspired electronics
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.
