2022 Impact factor 3.4


EPJ Plus Highlight - Introducing the European strategy for accelerator-based photon science (ESAPS 2022)

Timeline of future upgrades

Through new plans detailed in ESAPS 2022, the LEAPS consortium aims to strengthen Europe as a global leader in accelerator-based photon science.

The League of European Accelerator-based Photon Sources (LEAPS) is made up of 19 large-scale synchrotron (SR) and Free-electron Laser (FEL) facilities, situated across 10 European countries. This contribution to the EPJ Plus Focus Point “Accelerator-based Photon Science Strategy, Prospects and Roadmap in Europe: a Forward View to 2030” introduces the European Strategy for Accelerator-based Photon Science (ESAPS 2022): a pan-European plan formulated by LEAPS aimed at addressing the future challenges and needs in science and innovation, which strengthens Europe as a global leader in many areas of research and technology. Through the plans set out in ESAPS 2022, LEAPS could soon provide valuable new resources for more than 35,000 researchers using its facilities today, spanning fields as wide-ranging as materials science, drug design, biochemistry, quantum technology, geology, and planetary science.


EPJ A Highlight - An overview of the management structure of the AGATA collaboration

The AGATA management structure

The AGATA project could eventually lead to a deeper understanding of the strong nuclear force. This paper details the project’s highly sophisticated management structure, which will be essential to achieving this goal.

The Advanced Gamma Tracking Array (AGATA) is a European gamma-ray spectrometer that is already achieving unparalleled levels of sensitivity in nuclear gamma-ray spectroscopy. Ensuring success in the project’s construction and operation has involved developing a highly sophisticated structure of management and organisation. This contribution to the EPJ A topical collection “AGATA: Advancements in Science and Technology” describes the roles and responsibilities of each of AGATA’s management committees, and details the project’s scientific organisation. As AGATA promises to make major breakthroughs in our understanding of the strong nuclear force and nuclear structure in the coming decades, the paper offers a new degree of transparency for the many research groups which stand to benefit from its future discoveries.


EPJ B Highlight - Testing particle scattering and reflection in graphene

Band structures for the left and right ferromagnetic regions. Credit: W. Yan., et al., EPJ B (2023)

Testing the quantum effects of Andreev reflection in the wonder material could have positive implications for quantum technology

Humanity stands on the verge of two major revolutions: the boom in 2-dimensional supermaterials like graphene with incredible properties and the introduction of quantum computers with processing power that vastly outstrips standard computers.

Understanding materials like graphene, made of single sheets of atoms, means better investigations of the properties they display at an atomic level. This includes how electrons behave around superconductors — materials that, when cooled to temperatures near absolute zero, can conduct electricity without energy loss.

When a superconductor is sandwiched between metal materials, a type of scattering called crossed Andreev reflection may appear, and in an s-wave superconductor junction, the Andreev reflection usually induces correlated opposite spin in electrons. This can be used to induce entanglement, a quantum phenomenon that is critical for quantum computers.

In a new paper in EPJ B, author Rui Shen, from the National Laboratory of Solid State Microstructures and School of Physics at Nanjing University, China, and his co-authors theoretically assess nonlocal transport and crossed Andreev reflection in a ferromagnetic s-wave superconductor junction composed of the gapped graphene lattices.


EPJ E Highlight – How hydrophobicity shapes protein assemblies

Hydrophobic dipoles align in parallel. Credit: Angel Mozo-Villarías et al. 2023

Using an electrical analogy, researchers show how a distribution of hydrophobic charges draws proteins into parallel alignment in a macromolecule assembly

Through a nuanced balance of electrical and hydrophobic forces, biological molecules self-assemble into the large functional structures that maintain life’s vital functions. Understanding how proteins self-assemble requires knowledge of both forces. But while predicting the electrical interactions of individual proteins is simple, deriving their hydrophobic ones is less straightforward. In a study published in EPJ E, Angel Mozo-Villarias, of the Autonomous University of Barcelona, Spain, and his colleagues develop a formulation for how proteins align into membrane-like structures based on hydrophobic interactions. The model could help to predict the configuration of macromolecular assemblies at any scale, providing a useful tool for novel materials and drug discovery research.


EPJ D Highlight - Machine learning hunts for the right mix of hydrogen isotopes for future nuclear fusion power plants

The Sun, where nuclear fusion of hydrogen proceeds in a dense plasma. New research uses machine learning to look for the right mix of hydrogen isotopes for technology that replicates this process on Earth. Credit: ESA/NASA/SOHO

New research is an initial step in the use of deep learning to help determine the right mix of hydrogen isotopes to use in fusion power plants of the future

The process that powers the stars, nuclear fusion, is proposed as a future power source for humanity and could provide clean and renewable energy free of the radioactive waste associated with current nuclear fission plants.

Just like the fusion process that sends energy spilling out from the Sun, future nuclear fusion facilities will slam together isotopes of the universe’s lightest element, hydrogen, in an ultra-hot gas or “plasma” contained by a powerful magnetic field to create helium with the difference in mass harvested as energy.

One thing that scientists must know before the true advent of fusion power here on Earth is what mix of hydrogen isotopes  to use— primarily “standard” hydrogen, with one proton in its atomic nucleus, deuterium with one proton and one neutron in its nucleus, and tritium with a nucleus of one proton and two neutrons. This is currently done with spectroscopy for prototype fusion devices called tokamaks, but this analysis can be time-consuming.

In a new paper in EPJ D, author Mohammed Koubiti, Associate Professor at the Aix-Marseille Universite, France, assesses the use of machine learning in connection with plasma spectroscopy to determine the ratios of hydrogen isotopes for nuclear fusion plasma performance.


EPJ Plus Focus Point Issue: Focus Point on Environmental and Multiplicity Effects on Planet Formation

Guest Editors: Giuseppe Lodato and Carlo Felice Manara

Star formation does not take place in isolation, and young stars are subject to different kind of interactions with their natal environment. Dynamical encounters with other young stars and photoevaporation of the protostellar disc due to the intense UV field of neighbouring stars are just a couple of examples of how the environment affects star formation. Since planets are born during the star formation process, such effects may naturally affect also planet formation itself. The aim of this focus point is to define the state of the art of our knowledge in this particular field and to provide a few highlights of interesting new research avenues to pursue.

All articles are available here and are freely accessible until 24 October 2023. For further information, read the Editorial.

EPJ D Topical Issue: Electron-Driven Processes from Single Collisions to High-Pressure Plasmas

Guest Editors: Jose L. Lopez, Michael Brunger, and Holger Kersten

The special Topical Issue of the European Physics Journal D (EPJ D) on “Electron-Driven Processes from Single Collisions to High-Pressure Plasmas” is published to honor Kurt H. Becker, who served as Editor-in-Chief for the journal from 2010 to 2016, on his 70th birthday. Electron-driven processes from single collisions to high-pressure plasmas definitely occupy a central position in atomic and plasma physics. Considering this, the Guest Editors compilated a broad range of original manuscripts that encompass the area of electron-atom and electron-molecular collisions, respectively, low-temperature plasma research and aligning with Kurt Becker’s emphasis on science innovation and entrepreneurship. Hence, the papers focus on various recent scientific and technological advances in this given area of physics, chemistry and technology of non-thermal plasmas.


EPJ B Colloquium - Density-matrix renormalization group: a pedagogical introduction

Schematic representation of the connection between the original and the tensor-network-based formulations of the density-matrix renormalization group method

The physical properties of a quantum many-body system can, in principle, be determined by diagonalizing the respective Hamiltonian, but the dimensions of its matrix representation scale exponentially with the number of degrees of freedom. Hence, only small systems that are described through simple models can be tackled via exact diagonalization. To overcome this limitation, numerical methods based on the renormalization group paradigm have been put forth, that restrict the quantum many-body problem to a manageable subspace of the exponentially large full Hilbert space. A striking example is the density-matrix renormalization group (DMRG), which has become the reference numerical method to obtain the low-energy properties of one-dimensional quantum systems with short-range interactions.


EPJ ST Highlight - Capturing the evolution of complex quantum systems

Representing the HEOM mathematical structure

Through a new survey, researchers show how mathematical representations named ‘tensor trains’ can help to capture and simulate the dynamics of evolving quantum systems across a range of different scenarios.

Many quantum systems are heavily influenced by their surrounding environments, making them incredibly challenging to describe theoretically. To capture the dynamics and evolution of these systems, researchers often use mathematical representations named ‘tensor trains’. Through new research published in EPJ ST, a team of researchers from four different institutions in France show how tensor trains can be implemented to describe and simulate quantum systems.


EPJPV Highlight - How cool is floating PV

Example of effect of wind on two panels

The Editors-in-Chief of EPJ Photovoltaics, Pere Roca i Cabarrocas and Jean-Louis Lazzari, are pleased to highlight an important paper published recently in the Special Issue on ‘WCPEC-8: State of the Art and Developments in Photovoltaics’.

The article “How cool is floating PV? A state-of-the-art review of floating PV's potential gain and computational fluid dynamics modeling to find its root cause” is the result of the joint efforts of Gofran Chowdhury (imec, EnergyVille and University of Leuven), Mohamed Haggag (imec and University of Leuven), and Jef Poortmans (imec, EnergyVille, University of Hasselt and University of Leuven).


B. Fraboni and G. García López
We, the authors, are fully satisfied with the peer review process and the transparency followed in the status of the article and rapid processing for the publication.

Prof. R. Chandiramouli, SASTRA University

ISSN: 2190-5444 (Electronic Edition)

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