Call for Book Chapters
Advances in Memristors, Memristive Devices and Systems

Series Title: Studies in Computational Intelligence by Springer-Verlag, Germany
http://www.springer.com/series/2941

Submission Deadline: June 30, 2016

Book Editors:

Dr. Sundarapandian Vaidyanathan
Professor and Dean, Research and Development Centre Vel Tech University, Chennai, India
Email: sundarvtu@gmail.com

Dr. Christos Volos
Assistant Professor, Department of Physics Aristotle University of Thessaloniki, Greece Email: chvolos@gmail.com

Abstract:
Memristor (concatenation of MEMory ResISTOR), is the fourth fundamental circuit element (joining the resistor, the capacitor and the inductor), predicted by Leon Chua in 1971. This element represents one of today’s latest technological achievements with a great number of applications. Memristor is a passive two-terminal electronic device which behaviour is described by a nonlinear constitutive relation between the voltage drop at its terminal and the current flowing through the device. But the reason why the memristor is substantially different from the other fundamental circuit elements is that, when the applied voltage is turned off, it still remembers how much voltage was applied before and for how long; thus presenting memory of its past. However, this innovative device attracted most of attention worldwide only after 2008 when its practical implementation was announced by Hewlett-Packard, originating intense research activity ever since. Memristors have brought a revolution in various scientific fields, as many phenomena in systems, such as in thermistors, spintronic devices and molecules could be explained now with the use of the memristor. Also, electronic circuits with memory elements could simulate processes typical of biological systems, such as learning and associative memory and the adaptive behavior of unicellular organisms. Furthermore, neuromorphic computing circuits with memristors, can potentially solve problems that are cumbersome or outright intractable by digital computation. Also, memristors have been used in cellular neural networks, for performing a number of applications, such as logical operations, image processing operations, complex behavior and higher brain functions, or in designing stateful Boolean logic gates for the AND, OR and NOT operations. Also, in many well-known nonlinear circuits, the nonlinear element has been replaced by memristors and various interesting dynamical phenomena like chaos and hidden attractors have been observed. Therefore, with these wide range of applications, engineering aspects of memristor devices, memristive-based circuits and systems design become significant important.

Objectives of the Book:
This volume presents a selected collection of contributions on a focused treatment of recent advances in the design and realization of this new circuit element, as well as on the study of phenomena that the memristive-based circuits and systems. The book also discusses several multi-disciplinary applications of memristors and memristive devices and systems in electronics, computing, computer architectures, neuromorphic engineering, etc. These are among those multi-disciplinary applications where Computational Intelligence has excellent potentials for use. Both novice and expert readers should find this book a useful reference in the aforementioned fields.
Topics:
Suggested topics include (but are not limited to) the following:
- Anti-serial/anti-parallel memristive switches
- Application of composite memristive systems in computing circuits
- Arithmetic-Logic Unit based on memristors
- Boolean logic operations based on memristors
- Cellular automata
- Chaos and complex networks
- CMOS-like memristor-based logic circuit design
- Computing with memristive devices
- Dynamic response of multiple interconnected memristors
- Electromagnetic theory of memristor
- Functional materials and devices
- Logic design concepts based on memristors
- Memristive circuits
- Memristive computing for NP-Hard AI problems
- Memristive crossbar-based nonvolatile memory
- Memristive devices
- Memristive logic circuits for parallel processing
- Memristive network-based computations
- Memristive Systems for Space Applications
- Memristive, plasticity and learning
- Memristive-based array for an associative memory
- Memristive-based computational modules
- Memristive-based memory and computing
- Memristor characteristics
- Memristor circuits for analogue computing
- Memristor mathematical models and emulators
- Memristor theory
- Memristor-based logic circuits
- Memristor-based nonlinear circuits and networks
- Memristor-nMOS circuits
- Memristors’ model verification
- Modeling memristors in SPICE
- Neuromorphic Applications
- Neuromorphic memristive circuits and systems
- Nonlinear circuits’ design using memristors
- Nonlinear memristor dynamics
- Programmable analogue memristive systems
- Sensory applications
- Signal processing with memristors
- Switching dynamics of threshold-type memristors

Chapter Submission and Author Information:
Submitted manuscripts should conform to the standard guidelines of the Springer’s book chapter format. Manuscripts must be prepared using Latex or Word and according to the Springer’s svmlt template that can be downloaded from the (link). Manuscripts that do not follow the formatting rules will be ignored. Prospective authors should send their manuscripts electronically to the following email addresses: sundarvtu@gmail.com and chvolos@gmail.com with the subject title as: “Advances in Memristors, Memristive Devices and Systems”. Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. The accepted contributions will be published in Studies in Computational Intelligence by Springer-Verlag, Germany.

Important Dates:
June 30, 2016: Full Chapter Submission
July 31, 2016: Review Results of Submissions
Aug. 31, 2016: Final Chapter Submissions
Sept.15, 2016: Final Acceptance Notifications
Oct. 1, 2016: Deadline for Camera-Ready Chapters and Copyrights Forms