About EPJ
The European Physical Journal (EPJ) is a series of peer-reviewed journals covering the whole spectrum of physics and related interdisciplinary subjects. EPJ is committed to high scientific quality in publishing and is indexed in all main citation databases.
Latest news
EPJ E Highlight - Active Brownian particles have four distinct states of motion
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- Published on 17 May 2023

Depending on the friction and external bias forces they experience, self-propelled Brownian particles will take on one of four possible states of motion. The discovery could help researchers to draw deeper insights into the behaviours of these unique systems in nature and technology.
Active Brownian motion describes particles which can propel themselves forwards, while still being subjected to random Brownian motions as they are jostled around by their neighbouring particles. Through new analysis published in EPJ E, Meng Su at Northwestern Polytechnical University in China, together with Benjamin Lindner at Humboldt University of Berlin, Germany, have discovered that these motions can be accurately described using four distinct mathematical patterns.
EPJ Data Science Highlight - Investigating gender equality in urban cycling
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- Published on 08 May 2023

New research looks at why cycling has a low uptake among women in urban areas
Over recent years not only has cycling proved itself to be an outdoor activity with tremendous health benefits, but it has also presented itself as a useful tool in the quest to find an environmentally friendly method of urban transportation.
Despite the increasing popularity of cycling, many countries still have a negligible uptake in the pursuit and this is even more pronounced when considering how many women engage in cycling. To this day, a mostly unexplained gender gap exists in cycling.
A new paper in EPJ Data Science by the University of Turin Department of Computer Science researcher Alice Battiston and her co-authors attempts to understand the determinants behind the gender gap in cycling on a large scale.
EPJ E Highlight - Improving fluid simulations with embedded neural networks
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- Published on 08 May 2023

While neural networks can help to improve the accuracy of fluid flow simulations, new research shows how their accuracy is limited unless the right approach is taken. By embedding fluid properties into neural networks, simulation accuracy can improve by orders of magnitude.
The Lattice Boltzmann Method (LBM) is a simulation technique used to describe the dynamics of fluids. Recently, there has been an increasing interest in employing neural networks for computational modelling of fluids. The results of a collaboration between researchers from Eindhoven University of Technology and Los Alamos National Laboratory, published in EPJ E, show how neural networks can be embedded into a LBM framework to model collisions between fluid particles. The team found that it is essential to embed the correct physical properties into the neural network architecture to preserve accuracy. These discoveries could deepen researchers’ understanding of how to model fluid flows.
Open calls for papers
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EPJ A Topical Collection devoted to the legacy of Peter Schuck
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EPJ A Topical Collection: Radiative Corrections: From Medium to High Energy Experiments
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EPJ A Topical Collection: Short-Range Correlations and the EMC Effect
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EPJ A Topical Issue: Heavy and Super-Heavy Nuclei and Elements: Production and Properties
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EPJ B Topical Issue: Extreme Value Statistics and Search in Biology: Theory and Simulations
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EPJ B Topical Issue: Neuromorphic Bio-inspired Computing
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EPJ B Topical Issue: New frontiers in exploring the dynamics of community structure in online social networks
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EPJ B Topical Issue: Quantum phase transitions and open quantum systems: A tribute to Prof. Amit Dutta
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EPJ D Topical Issue: Electron and Positron Interactions and Their Applications: a tribute to Professor Michael Brunger
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EPJ D Topical Issue: Dynamics and Photodynamics: from isolated molecules to the condensed phase
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EPJ D Topical Issue: Quantum Walks and applications
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EPJ E Topical Issue: Festschrift in honor of Philip (Fyl) Pincus
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EPJ H Special Issue: History for Physics: Contextualizing modern developments in the foundations of quantum theory
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EPJ N Topical Issue on Research Reactor use and projects on modeling and experimental breakthroughs for Advanced Nuclear Reactors
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EPJ Plus Focus Point Issue: Citizen science for physics: From Education and Outreach to Crowdsourcing fundamental research
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EPJ Plus Focus Point Issue: Focus Point on Higher Derivatives in Quantum Gravity: Theory, Tests, Phenomenology
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EPJ Plus Focus Point Issue: The Magic of Glass
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EPJ Quantum Technology - Open Calls for Papers
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EPJ ST Special Issue Celestial Mechanics: new discoveries and challenges for space exploration
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EPJ ST Special Issue: b-quark physics as a precision laboratory: status and future prospects
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EPJ ST Special Issue: Frontier 23: Elementary particle physics, dark matter and astroparticle physics
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EPJ ST Special Issue: Machine Learning in Quantum Many Body and Physical Systems
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EPJ ST Special Issue: Molecular and Cellular Mechanics
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EPJ Techniques and Instrumentation - Open Calls for Papers