2021 Impact factor 0.870
Historical Perspectives on Contemporary Physics


EPJ Plus Focus Point on Memristive Chaotic Circuits and Systems

Guest Editors: Qiang Lai, Xiao-Wen Zhao & Jacques Kengne

The memristor was theoretically postulated by Chua in 1971 and physically realized by the HP Labs team in 2008. Its unique nonlinear features actively promote the generation of chaos and other interesting dynamical behavior and sets new challenges in applications. This topical issue aims to collect some new ideas, methods, and recent results so as to shed some light on the future research directions concerning the design, analysis, and novel applications of related chaotic systems. Overall it makes a timely and valuable contribution to broadly advancing science and technology using memristors and memristive circuits.

All articles are available here and are freely accessible until 18 March 2023. For further information, read the Editorial.

EPJ D Highlight - Alain Aspect: The physicist who made entanglement an experimental reality

Aspect’s 1983 thesis revolutionised quantum mechanics. https://en.wikipedia.org/wiki/Alain_ Aspect#/media/File:Alain_Aspect_ (26341660894)_(cropped).jpg

For Einstein and other physicists of his generation, the strongly counter-intuitive features of quantum mechanics were very hard to accept, given that our intuition is based on the classical world around us. This EPJ D Topical Issue examines the discoveries, motivations, and continuing legacy of Alain Aspect: the physicist whose experiments, along with those of John Clauser and Anton Zeilinger, have made that quantum entanglement, an essentially non-classical feature, is now also an experimental reality, exploited in science and technology.


EPJ Plus Highlight - Citizen Science: From the cosmos to the classroom

Map of Italy showing the locations of schools participating in the EEE Project. Red dots show schools with telescopes and cyan dots show participating schools without telescopes.

An extensive network of cosmic ray detectors allows high school students in Italy to contribute to cutting-edge particle physics research

Citizen science projects offer the general public, or segments of that public such as school students, an opportunity to take part in scientific research. The Extreme Energy Events (EEE) Project in Italy is a cooperation between particle physicists studying cosmic rays and school students, and their teachers, throughout the country.

This has the twin aims of bringing cosmic ray research into schools and setting up a country-wide ‘open laboratory’ of particle detectors. One of the lead researchers from the EEE Project consortium, Silvia Pisano of the Italian Centro Fermi and Laboratori Nazionali di Frascati of INFN, Rome, Italy, has summarised the results from about 20 years of this project in a new paper in EPJ Plus.


EPJ ST issue: Collective behavior of nonlinear dynamical oscillators

This topical issue collects contributions of recent achievements and scientific progress related to the collective behavior of nonlinear dynamical oscillators. The individual papers focus on different questions of present-day interest in this topic.

All articles are available here and are freely accessible until 16 March 2023. For further information read the Editorial by Sajad Jafari, Bocheng Bao, Christos Volos, Fahimeh Nazarimehr & Han Bao ”Collective behavior of nonlinear dynamical oscillators” Eur. Phys. J. Spec. Top. 231, 3957–3960 (2022). https://doi.org/10.1140/epjs/s11734-022-00725-0

EPJ Plus Focus Point on Uncertainty Quantification of Modelling and Simulation in Physics and Related Areas: From Theoretical to Computational Techniques

Guest Editors: Juan Carlos Cortés, Tomás Caraballo, Carla M.A. Pinto

The main goal of this topical article collection is to present new advances on theoretical and computational techniques for uncertainty quantification of modelling and simulation in relevant problems appearing in physics sciences. Many important laws in Physics are formulated by means of equations -mainly differential equations- whose input data is set after experimental measurements, therefore containing uncertainties. Apart from this fact, there often are model parameters whose nature is not known deterministically but randomly because of ignorance and inherent complexity of the physical phenomenon under study. This approach motivates the necessity of treating classical equations in Physics by considering uncertainties in their formulations. This approach is currently a cutting-edge topic whose rigorous analysis requires to masterly combine Physics, Probability and Computing, not just to solve exact or numerically the corresponding equations but also to correctly estimate model parameters, perform accurate simulations and interpret the results.

All articles are available here and are freely accessible until 16 March 2023. For further information, read the Editorial.

EPJ Plus Focus Point High-Energy Accelerators: Advances, Challenges, and Applications

Guest Editors: R. B. Appleby, A. Bazzani, M. Giovannozzi & E. Levichev

In this Focus point issue we look at the frontiers of beam dynamics in particle accelerators. These machines are unique scientific tools that provide focused high-density beams of sub-atomic particles such as electrons, protons or ions, at energies unparalleled in any other areas of laboratory-based science. They have been applied to vast range of problems in the last century or so, with circular colliders playing a special role in discovering new particles and new physics, with energy and particle collision rates of several orders of magnitude higher than those of pioneer colliders in the early 1960s. This Focus Point issue covers the field of particle beam physics, with a loose classification into the categories of advances in the field, challenges, and broader applications. This includes exciting topics such as non-linear beam dynamics, the Large Hadron Collider, the SuperKEKB, and the Future Circular Collider, the physics that occurs when two beams collide and some papers on the future advances of the field. We hope this issue is both exciting and inspiring for our community, and of interest beyond our community as well.

All articles are available here and are freely accessible until 16 March 2023. For further information, read the Editorial.

EPJ B Topical Issue on Recent developments in the functional renormalization group approach to correlated electron systems

Guest editors: Carsten Honerkamp, Dante Kennes, Volker Meden, Michael Scherer and Ronny Thomale.

This Topical Issue of EPJ B brings together a collection of articles on the recent progress of the application of the functional renormalization group to correlated electron systems.

In condensed-matter physics strong correlations between electrons in materials and devices are responsible for the formation of many intriguing emergent phenomena, including various types of magnetism, (unconventional) superconductivity, Kondo-like effects or interaction-induced topological phases. Theoretical progress in the understanding of correlated electron systems requires the dedicated development of modern and powerful quantum many-body methods. One rather versatile method is the functional renormalization group, which has recently witnessed major methodological advances and extensions. This includes aspects of the renormalization group formulation, increased computer power and enhanced interlinks to ab initio quantum material methods, extensions to novel strongly correlated electronic models, and electronic systems out of equilibrium.


EPJ ST Highlight - Dynamics of the COVID-19 pandemic

The outbreak of COVID-19 changed the human perception of day-to-day life and tested the bounds of medical technology in protecting the welfare of humans. Several approaches and safety measures have been implemented to minimize the countless lives that are being affected. However, public health and educational breaches are evidenced in most countries in which not all citizens have the same opportunities to deal with the pandemic. Therefore, this has led to pervasive consequences, including mental health problems because of the disruption of everyday life routines.

This special issue is a collection of 35 orginal research articles that address the dynamics and applications of COVID-19 through nonlinear dynamics. The articles are organized in five sections, comprising mathematical modeling and epidemics, the dynamics of several waves and transmission, neural network and deep learning related to COVID-19, predictions and estimations related to COVID-19, and detailed analysis on the pandemic and its applications. The various contributions report important, timely, and promising results and provide insight into the spread of the coronavirus and control measures against the COVID-19 pandemic.

All articles are available here and are freely accessible until 21 March 2023. For further information read the Editorial by Santo Banerjee ”Dynamics of the COVID-19 pandemic: nonlinear approaches on the modelling, prediction and control” Eur. Phys. J. Spec. Top. 231, 3275–3280 (2022). https://doi.org/10.1140/epjs/s11734-022-00724-1

EPJ ST Highlight - Showcasing the possibilities of memristor circuits

The papers presented in this special issue explore several unique capabilities of memristor-based systems: including multistability, nonlinearity, and chaotic dynamics

First demonstrated in 2008, the memristor is an electrical component which can limit the amount of current in a circuit, while remembering the amount of charge it conveyed in the past. Yet despite its numerous potential applications, the memristor’s commercial rollout has so far been restricted by the high manufacturing costs of its nano-scale electrical components.

To improve both the range of applications and theoretical understanding of memristors, there is a need to investigate their fundamental features, while diversifying the tools used to model their behaviours. In this special issue, the journal EPJ ST presents 25 new papers showcasing the widely-varied possibilities by memristor systems, and the mathematical principles required to understand and model them.


EPJ Data Science appoints Dr Yelena Mejova as co-Editor-in-Chief

Dr Yelena Mejova

EPJ is pleased to announce that Dr Yelena Mejova has been appointed as a co-Editor-in-Chief for EPJ Data Science, effective January 2023. She will be responsible for overseeing the editorial process of the journal, working closely with Dr Ingmar Weber, who continues to serve as co-Editor-in-Chief.

Yelena Mejova is a Senior Research Scientist at the ISI Foundation in Turin, Italy. Specializing in social media analysis and mining, her work concerns the quantification of health and wellbeing signals in social media, as well as tracking of social phenomena, including politics and news consumption. In 2022, she co-chaired International AAAI Conference on Web and Social Media (ICWSM) and the Web & Society track at The Web Conference. As a part of the CRT Foundation's Lagrange Project for Data Science and Social Impact, she is also working with the humanitarian sector including the World Food Program, OCHA, and IMMAP to develop NLP and modeling tools to aid in humanitarian data management and forecasting.

M. Eckert and J.D. Wells
ISSN (Print Edition): 2102-6459
ISSN (Electronic Edition): 2102-6467

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