News
EPJ ST issue: Collective behavior of nonlinear dynamical oscillators
- Details
- Published on 16 January 2023
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
- Details
- Published on 16 January 2023
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
- Details
- Published on 16 January 2023
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
- Details
- Published on 13 January 2023
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
- Details
- Published on 13 January 2023
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
- Details
- Published on 13 January 2023
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
- Details
- Published on 09 January 2023
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.
EPJ Web of Conferences Highlight - ConfXV: XVth Quark Confinement and the Hadron Spectrum Conference
- Details
- Published on 06 January 2023
Emerging from the pandemic, it was a pleasure to host the 15th edition of the Quark Confinement and the Hadron spectrum conference as in-person event at the University of Stavanger in August 2022.
This conference series has become an important forum for scientists working on the strong nuclear interactions, stimulating exchange among theorists and experimentalists from various fields.
2023 will see 25 Years of EPJ
- Details
- Published on 23 December 2022
The EPJ Publishers would like to thank all editors, authors, referees and readers for contributing to EPJ’s success.
Merry Christmas and Happy New Year!
2023 will see 25 years since of the launch of the European Physical Journal (EPJ), with the first issues of the core EPJ titles being published in 1998. To mark this anniversary, and in keeping with the long-held EPJ tradition of supporting early career researchers, EPJ is making available a number of grants to support meetings for young researchers throughout 2023.
EPJ E Highlight - Modelling the collective movement of bacteria
- Details
- Published on 23 December 2022
Research into the movement of packages of bacteria could help better understand the formation of troublesome biofilms.
Biofilms form when microorganisms such as certain types of bacteria adhere to the surface of objects in a moist environment and begin to reproduce resulting in the excretion of a slimy glue-like substance.
These biofilms aren’t just unpleasant and unappealing however, they can be seriously troublesome. For example, in the medical field, the formation of biofilm can reduce the effectiveness of antibiotic treatments. The key to understanding biomass formation lies in understanding how bacteria behave en masse.
A new paper in EPJ E by Heinrich-Heine-Universität, Düsseldorf, Germany, researcher Davide Breoni and his co-authors presents a mathematical model for the motion of bacteria that includes cell division and death, the basic ingredients of the cell cycle.
