- Published on 28 March 2011
Helium nanodroplets provide a unique matrix for the spectroscopy of embedded atom species. In this recent paper in EPJD, Bünermann and Stienkemeier demonstrate a new model of how effects such as droplet shrinking, momentum transfer and cluster desorption affect the pick-up statistics of alkali atoms in helium nanodroplets.
- Published on 24 March 2011
The second edition of the EPJE - Pierre Gilles De Gennes Lecture Prize will be hosted in Vienna, during the 8th Liquid Matter Conference.
- Published on 03 March 2011
Electrodeposition of an electroactive polymer and subsequent polymerization of monomers is a novel route to anchor polymer chains to electrode surfaces.
- Published on 25 February 2011
Tiny polymer droplets that crystallize on a surface are a shrewd expedient to study the birth of a polymer crystal by the elusive homogeneous nucleation mechanism. In most cases, take for example the dust particle in a snowflake, nucleation starts from a heterogenous defect. Homogenous nucleation is difficult to study because of the prevalence of defects in any bulk sample. Crystallization in small droplets alleviates this difficulty in a manner that is conceptually simple: subdivide the system into more domains than the number of defects. If the domains greatly outnumber the defects then only the homogenous mechanism can induce nucleation in a defect free compartment.
- Published on 17 February 2011
The need to store, distribute and analyze the 15 million gigabytes of data annually generated by the Large Hadron Collider (LHC) at CERN has led to a revolutionary development of innovative software tools. Under CERN coordination, leading IT teams have tested and validated cutting-edge software technologies aimed to operate distributed computing and data storage infrastructures based on a worldwide network of hundreds of computing centers on an unprecedented scale.
- Published on 07 February 2011
Individual success in competitive endeavors, such as sports or academia, is the result of many factors, some of which are time-dependent. In order to compare human achievements from different time periods, we need to normalize success metrics so as to avoid a time-dependent bias in the comparison of the statistical measures. A novel 'detrending' approach presented in EPJ B removes precisely this bias and allows for an objective comparison across time.
- Published on 02 February 2011
A key to our understanding of Quantum Chromodynamics (QCD) in the strong regime is our ability to reproduce the hadronic excitation spectrum. Up to now, and due to their limited predictive power, quark models forecast of this spectrum at high excitation energies is unsatisfactory and is dubbed ``the missing resonances problem”. To explore the high excitation energies in the hadron spectrum production or scattering of heavier mesons from a nucleon target is essential.