16 May 2018
Open access in physics from SpringerOpen
Our physics journals cover areas of physics from high energy physics; atoms, plasmas, and particles; to optics and photonics; and computational cosmology and astrophysics. Toward the more applied side of physics, you’ll find our nanoscience journals, and journals that, while grounded in physics, take a multidisciplinary, “convergence” approach to large problems.
CERN sponsoring APCs for methods articles in EPJ TECHNIQUES AND INSTRUMENTATION
A novel model of third phase inclusions on two phase boundaries
A new computationally efficient model of an included phase located at the interface between two other phases is developed by projecting the boundaries of the inclusion onto the boundary between the two other phases. This reduces the 3D problem to one on a 2D surface while still being embedded in 3D space, which significantly reduces computational expense of solving the system. The resulting model is similar to conventional phase-field models. The properties of the solution are examined, compared to classical theory, and the numerical behaviour, including a mesh sensitivity analysis, are discussed. The model accurately captures mesoscale effects, such as the Gibbs-Thompson effect, coarsening, and coalescence. An example application of the model simulating the evolution of grain boundary porosity in nuclear fuel is shown on a representative tetrakaidecahedron-shaped fuel grain.
CubeSat quantum communications mission
EPJ Quantum Technology
Electrochemical and optical biosensors for early-stage cancer diagnosis by using graphene and graphene oxide
|Study of Nanoscale Friction Behaviors of Graphene on Gold Substrates Using Molecular Dynamics|
by Pengzhe Zhu and Rui Li
In this paper, we investigate the friction behaviors of graphene flakes sliding on a gold substrate using molecular dynamics simulations. The effects of flake size, flake shape, relative rotation angle between flake and substrate, and crystal orientation of substrate on the friction process are thoroughly studied. It is found that under the same load, the average friction forces per atom are smaller for a bigger graphene flake, which exhibits an obvious size effect. It is also shown that flake shape is critical in determining the friction in the sliding process. The average friction forces per atom for the square flake are much bigger than those for the triangular and round flakes. Moreover, the average friction forces per atom for the triangular flake are the smallest. We also find that the orientation of graphene flake relative to gold substrate plays a vital role in the friction process. The friction forces for the graphene flake sliding along the armchair direction are much bigger than those for the flakes with rotation. In addition, it is also found that single crystalline gold substrate exhibits a significant anisotropic effect of friction, which is attributed to the anisotropic effect of potential energy corrugation. These understandings not only shed light on the underlying mechanisms of graphene flake sliding on the gold substrates but also may guide the design and fabrication of nanoscale graphene-based devices.
Nanoscale Research Letters
|Distinguishing mechanisms underlying EMT tristability|
by Dongya Jia, Mohit Kumar Jolly, Satyendra C. Tripathi, Petra Den Hollander, Bin Huang, Mingyang Lu, Muge Celiktas, Esmeralda Ramirez-Peña, Eshel Ben-Jacob, José N. Onuchic, Samir M. Hanash, Sendurai A. Mani, and Herbert Levine
|A non-rigid registration method for the analysis of local deformations in the wood cell wall|
by Alessandra Patera, Stephen Carl, Marco Stampanoni, Dominique Derome, and Jan Charmellet
This paper concerns the problem of wood cellular structure image registration. Given the large variability of wood geometry and the important changes in the cellular organization due to moisture sorption, an affine-based image registration technique is not exhaustive to describe the overall hygro-mechanical behaviour of wood at micrometre scales. Additionally, free tools currently available for non-rigid image registration are not suitable for quantifying the structural deformations of complex hierarchical materials such as wood, leading to errors due to misalignment. In this paper, we adapt an existing non-rigid registration model based on B-spline functions to our case study. The so-modified algorithm combines the concept of feature recognition within specific regions locally distributed in the material with an optimization problem. Results show that the method is able to quantify local deformations induced by moisture changes in tomographic images of wood cell wall with high accuracy. The local deformations provide new important insights in characterizing the swelling behaviour of wood at the cell wall level.
Advanced Structural and Chemical Imaging
Call for Papers
|Machine learning to advance our understanding of the universe|
Journal: Computational Astrophysics and Cosmology
Guest Editors: Stella Offner, Wojtek Kowalczyk, Peter Teuben, and Simon Portegies Zwart
Submission Deadline: September 1, 2018
|Network Medicine in the era of Big Data in Science and Healthcare|
Journal: Applied Network Science
Lead Guest Editor: Amitabh Sharma
Submission Deadline: March 31, 2018
|Space applications of quantum technology|
Journal: EPJ Quantum Technology
Lead Guest Editor: Dr. Rainer Kaltenbaek, Vienna Center for Quantum Science and Technology
|Novel plasma diagnostics|
Journal: EPJ Techniques and Instrumentation
Lead Guest Editor: Dr. Thomas Trottenberg, Institut für Experimentelle und Angewandte Physik, AG PlasmaPhysik / PlasmaTechnologie
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