- Published on 24 October 2018
The term Memristor refers to the special electronic component porposed by Leon Chua. After the implementation of memristor at HP Labs in 2008, there has been an increasing interest in memristor-based systems. Previous research has established that the existence of a pinched hysteresis effect plays a critical role in memristor-based system. Investigating the nonlinearity in memristor is useful not only for understanding its intrinsic features but also for developing new advanced designs. Recently, various complex dynamics have been obversed in memristive sytems such as chaos, extreme multistability, initial condition-dependent dynamics, coexistence of multiple attractors, autowave, and Turing patterns etc. However, discovering dynamics of such systems is still an interesting topic, which should be carried out further. It is noted that memristor-based systems have been the subject of many studies in different areas ranging from neural network, reconfigurable computing, memory technology to artificial intelligence. Potential applications of memrisive systems attract significant attention of the research community and industry.
This special issue is dedicated to present state-of-the-art results on memristor-based systems. The contribution to the Special Issue should be concentrate on the nonlinear aspects, dynamics, and applications of memristor-based sytems
The topics include, but are not limited to the following:
- Physical properties of memristors
- Nonlinearity and complexity
- New modeling directions
- Dynamics of memristor-based systems
- Advanced architectures and implementations
- Novel applications of memristor-based systems.
Call for Papers: The Guest Editors invite authors to submit their original research papers for this Special Issue. Articles may be one of four types: (i) minireviews (10-15 pages), (ii) tutorial reviews (15+ pages), (iii) original paper v1 (5-10 pages), or (iv) original paper v2 (3-5 pages). Articles should be submitted to the Editorial Office of EPJ: ST by selecting the “Memristor-based systems” as a special issue at https://articlestatus.edpsciences.org/is/epjst/home.php
Guest Editors: Viet-Thanh Pham (Thanh Tay Institute for Advanced Study, Thanh Tay University, Yen Nghia, Ha-Dong District, Hanoi 10000, Vietnam), Christos Volos (Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, GR–54124, Greece), Luigi Fortuna (Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Universita degli Studi di Catania, Catania, Italy)
Submission Deadline: 15th February 2019.
EPJ ST Special Issue: Nonextensive Statistical Mechanics, Superstatistics and Beyond: Theory and Applications in Astrophysical and Other Complex Systems
- Published on 07 September 2018
After more than 140 years of impressive success there is no reasonable doubt that the Boltzmann-Gibbs (BG) entropy is the correct one to be used for a wide and important class of physical systems, basically those whose (nonlinear) dynamics is strongly chaotic i.e., for classical systems with positive maximal Lyapunov exponent, which are mixing and ergodic. However, a plethora of physical complex systems exists for which such simplifying dynamical hypotheses are violated; typical examples are those for which the maximal Lyapunov exponent vanishes, leading to sub-exponential sensitivity to the initial conditions, which can of course occur in a variety of mathematical ways.
Corresponding anomalies are found in a variety of quantum systems as well. In order to statistically describe the dynamics of such systems, various generalised forms of statistical mechanics have been proposed such as those using the nonadditive entropies Sq (where q is a real number which, for q=1, recovers the BG entropy), kappa distributions (also known as q-Gaussians, where kappa is simply related to q), superstatistical approaches, among various others. In the last decades, these new generalised statistical mechanical formalisms have found a large variety of very successful applications, even beyond the realm of physics. This special issue aims to cover the most recent analytical, experimental, observational and computational aspects and examples where these new extended formalisms have found fruitful applications.
Topics include, but are not limited to:
- Generalised Central Limit theorems
- Generalised Large deviation theory
- Low-dimensional nonlinear conservative and dissipative dynamical systems near the edge of chaos
- Long-range-interacting many-body classical Hamiltonian systems
- Complex networks
- Area-law-like quantum systems
- Applications in astrophysics, space and other plasma physics, geophysics, high energy physics, cosmology, granular matter, cold atoms, econophysics, theoretical and structural chemistry, biophysics, social systems, power grids, image and time series processing, among others.
Guest Editors: Andrea Rapisarda, Constantino Tsallis, Christian Beck, George Livadiotis, Ugur Tirnakli, and Giorgio Benedek.
Call for papers:
The Guest Editors invite authors to submit their original research and short reviews on the theme of the Special Issue of the European Physical Journal -Special Topics. Articles should be submitted to the Editorial Office of EPJ: ST by selecting the "Nonextensive Statistical Mechanics, Superstatistics and Beyond" as a special issue at: https://articlestatus.edpsciences.org/is/epjst/home.phpAuthors submitting to the issue should follow submission guidelines here. Manuscripts should be prepared using the latex template of EPJ ST, which can be downloaded here.
- Published on 29 August 2018
The real-world scenario of an emergent collective behavior, either in a biological, neuronal, ecological or a social network, raises the challenge of quantifying the impact of diffusion on the rich set of mutual interactions. As well, it is also vital to quantify the dynamics of information spreading that manifests either as an abrupt, explosive phenomenon or as a cascading phenomenon across different degrees of freedom. In this context, multiplex networks arise as the most apt theoretical paradigm, highlighting an additional dimension of complexity in essential relations and thus providing a more inherent description for such systems.
Layered neuronal spiking and bursting, different stages of a dynamical response to an infection, epidemic spreading, competitive dynamics across different layers of a social networks, to name just some examples, are all affected by interplay of multiple tiles of composition, which embodies structural and functional correlations between different spatiotemporal regimes on a multilayer network.
Recent research has shown that layer-driven dynamics is the key in a wide variety of different dynamical processes, in turn giving rise to a novel set of critical phenomena, ranging from super-diffusive patterns to a first order percolation transition and multipartite synchronization manifolds involving multi-chimera states. Along these lines, the coevolution of the dynamics across different layers, bridging the gap between epidemic and awareness spreading, has also been shown to give rise to novel types of reaction-diffusion processes.
Taken together, there is thus a clear need to advance on these fascinating subjects with a dedicated special issue, not least also in connection to applications in real-world networks and systems interactions.
This special thus issue intends to collect original research articles on theory and experiment, as well as reviews on the recent trends concerning the diffusion dynamics associated with multilayer networks.
Topics include, but are not limited to:
- *Diffusion patterns in multilayer networks
- *Synchronization in multilayer networks
- *Multistability in multilayer networks
- *Selfsimilarity in multilayer networks
- *Chimera states in multilayer networks
- *Spontaneous symmetry breaking in multilayer networks
- *Epidemics transmission dynamics in multilayer networks
- *Awareness spreading in multilayer networks
- *Cooperation in multilayer networks
- *Reaction-diffusion in multilayer networks
- *Quantum multilayer networks
Call for papers:
The Guest Editors invite authors to submit their original research on diffusion dynamics and information spreading in multilayer networks, including the detailed review articles on this Topical Issue. Articles should be submitted to the Editorial Office of EPJ: ST by selecting the "Diffusion dynamics and information spreading in multilayer networks" as a special issue at: https://articlestatus.edpsciences.org/is/epjst/home.php
Submission deadline: 27th January 2019.
Vesna Berec (University of Belgrade) and Matjaz Perc (University of Maribor).