Memristors – from Next Generation Devices to Unconventional and Bio-Inspired Circuits and Systems
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "A：Physics".
Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 3680
Special Issue Editors
Interests: nonlinear circuits and systems; chaotic electronics; memristors; chaotic synchronization; mixed-signal circuit design; complexity theory
Special Issues, Collections and Topics in MDPI journals
2. Balearic Islands Health Institute (Idisba), 07021 Palma, Majorca, Spain
Interests: device modelling; memristors; nonlinear electron device
Special Issues, Collections and Topics in MDPI journals
Interests: circuit theory; memristors; chaotic circuits; nonlinear dynamics; AI; machine learning; cellular neural networks; biomedical signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following Leon Chua’s seminal paper proposing the memristor as the missing fundamental circuit element, Stanley Williams and his HP team first connected the observations made for their fabricated nanodevice to the theory of memristors. Since then, the field of memristors and memristor-related research has grown enormously. Memristors and memristive circuits have been applied in various current research fields, including nonlinear circuits in general, neuroscience, chemical modelling, security, and mainly next-generation memory devices allowing memory computation, to mention a few. The emergence of inherent complexity in memristors and memristor networks will play an important role in the future. The nonlinear dynamic behavior of memristors makes it possible to consider new and unconventional ways to overcome current technological stalemates, such as the end of Moore’s law for CMOS. Such paradigms are synapse emulation and bio-inspired circuit design or in-memory computation.
This Special Issue aims to compile the latest findings and the most promising high-level research results on all of the above-mentioned topics. It covers a wide range of current interdisciplinary topics, ranging from the fundamental theory of memristors to the design of circuits and systems, and also includes new solutions for memristor fabrication, neuromorphic systems, or the design and implementation of logic gates. The topics of interest include, but are not limited to:
Memristor theory, modeling and simulation tools;
- Functional materials and novel memristive devices (ReRAM, PCM, STT-RAM, etc.);
- Analog and digital memristor-based circuits, systems, architectures, and applications;
- Novel or unconventional architectures including memristor–CMOS integration;
- In-memory computing;
- Neuromorphic and bio-inspired circuits and systems;
- Artificial intelligence and neural networks;
- Memristive sensor and sensory/interfacing platforms;
- Internet of Things and security applications;
- Nonlinear dynamics, chaos, and complex networks.
Dr. Stavros G. Stavrinides
Prof. Dr. Rodrigo Picos
Prof. Ronald Tetzlaff
Prof. Leon O. Chua
Guest Editors
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Keywords
- Memristors
- Memcapacitors
- Meminductors
- Memristive circuits
- Memristor device fabrication
- ReRAM
- PCM
- STT
- Neuromorphic
- Bio-inspired
- In-memory computing
- IoT
- ANN
- Nonlinear networks
- Memristive sensors
- Nonlinear dynamics
- Chaos
- Analog design
- Digital design
- Mixed-signal circuits
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