2015 Impact factor 1.223
Condensed Matter and Complex Systems

EPJ Plus Highlight - New neuron dynamics model better fitted to the biological reality

The phase trajectories of the solutions for the simplified biologically relevant HH model and the scaled theoretical FHN model for neuron dynamics (black curve).

Scientists have now adopted a qualitative theoretical neuroscience model commensurate with actual measurements of neurons' dynamics

Neuroscientists are currently working diligently to understand the dynamics of thousands of coupled neurons. Understanding how they operate requires accurate models. The trouble is that each of the existing neuroscience models has its own shortcomings. Russian physicists have, for the first time, developed an effective method for solving the equations of a well-known theoretical neuroscience dynamic model and make it more biologically relevant. These findings have just been published in EPJ Plus by Eugene Postnikov and Olga Titkova from Kursk State University, Russia. They could not only help resolve problems in the neurosciences, but could also provide a deeper understanding of neuronal activity in the emerging sector of neurovascular dynamics, which describes the interplay between the brain's neurons and the blood flow.

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EPJ D Colloquium: Non-equilibrium in low-temperature plasmas

The wide range of applications that have been found for cold plasmas stems from the fact that they are physical systems out of thermodynamic equilibrium. This property enhances their reactivity at low gas temperature, and allows macroscopic effects to be obtained with only moderate energy consumption.

In this EPJ D review, the basic concepts of ionised gases in a non-equilibrium state are treated by showing how and why the non-equilibrium functions of the degrees of freedom are formed in a variety of natural and man-made plasmas, with particular emphasis on the progress that has been made in the last decade. A modern perspective of the molecular basis of non-equilibrium and of a state-to-state kinetic approach is adopted. Computational and diagnostic techniques that have been used to investigate the non-equilibrium conditions are also surveyed.

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EPJ D Highlight - Better than milk on breakfast cereals: new precision coating method for industrial granular material

Ignited plasma – starfish shaped racetracks.

Deposition of a thin film catalyst of a predicted thickness on the surface of novel hydrogen storage microbeads helps release hydrogen

As anyone who eats their cereal with milk in the morning knows: coating large volumes of granular material homogeneously is no mean feat. In a recent paper published in EPJ D, an Austrian team has developed a new method, based on physical vapour deposition, to upscale the quantity of coating without affecting the quality and homogeneity of the film. In this study, Andreas Eder from Vienna University of Technology and colleagues also developed a model capable of predicting the film thickness. This represents a major step forward for industrial materials, as previous approaches relied on optical measurement after the coating had been deposited. Because this coating system is capable of implementing a plasma close to the granular substrate, it opens the door to new surface treatment and modification possibilities.

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Editors-in-Chief
P. Hänggi and A. Rubio
I am naturally indebted to you and the referees who contributed to this success with your time and constructive advice.

Hamid Assadi

ISSN (Print Edition): 1434-6028
ISSN (Electronic Edition): 1434-6036

© EDP Sciences, Società Italiana di Fisica and Springer-Verlag

Conference announcements

FUSION17

Hobart, Tasmania, 20–24 February 2017