Kielce, Poland, November 4-6, 2016
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.
- Published on Monday, 28 November 2016 11:28
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.
EPJ D Highlight - Better than milk on breakfast cereals: new precision coating method for industrial granular material
- Published on Wednesday, 23 November 2016 17:12
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.
- Published on Friday, 18 November 2016 12:51
How scientists are using big data analysis to deconstruct the art of storytelling
Our most beloved works of fiction hide well-trodden narratives. And most fictions is based on far fewer storylines than you might have imagined. To come to this conclusion, big data scientists have worked with colleagues from natural language processing to analyse the narrative in more than a thousand works of fiction. By deconstructing some of the magic of narrative in fiction books, they have also confirmed that there are six different, common ways of telling a story that can be found time and time again in popular stories. They were inspired by the work of US fiction author Kurt Vonnegut, who originally proposed the similarity of emotional story lines in a Masters’s thesis rejected by the University of Chicago. These findings have just been published in EPJ Data Science by Andrew Reagan from the University of Vermont, USA, and colleagues.
Open calls for papers
Tel-Aviv, Israel, 25 December 2016
Florianópolis, Brazil, 20-24 February 2017
Hobart, Tasmania, 20–24 February 2017