In the quest for future high-efficient electronic devices, perovskites have emerged as the most promising material candidates by far. The main reason for this is their inbuilt tolerance towards material defects, which, however, is hampered at boundaries between different crystallites in the material. Recently, researchers at the University of Ferrara investigated the behaviour of defects in perovskites in experiments and simulations using PRACE resources and provided valuable insights for the fabrication of future perovskite devices.
Exploring a new measure against heavy metal pollution: Simulations show how bio-waste materials can capture heavy metals in water
Organic waste such as fruit peels or spent coffee grounds can capture toxic heavy metal pollutants in water — a capability which could help to clean contaminated drinking water, especially in developing countries. Now scientists from France and Switzerland performed molecular simulations using PRACE supercomputing resources to gain insight into the mechanisms at play, and to lay the groundwork for a systematic employment of these important processes.
Ocean tides deliver a reliable source of renewable energy that can be harvested with hydrokinetic turbine farms. It is, however, not fully clear yet how a turbine affects the efficiency of another turbine placed in its wake. To better understand this, scientists at the Institute of Marine Engineering in Rome recently performed Large-Eddy Simulations using PRACE resources to analyse a turbine’s wake flow. They not only found valuable insights for efficient hydrokinetic farms, but they also created a basis for more accurate modelling of whole turbine farms.
Proper regulation of lipid metabolism and storage is critical for our health. A central role in this is played by so-called lipid droplets, which are a sort of storage system for lipids and also serve as cellular energy suppliers. To better understand these droplets and how they may affect the development of diseases, Biophysicist Stefano Vanni performed molecular dynamics simulations using PRACE supercomputing resources. The results shed new light on the vital work of phospholipids, and on the mysterious protein seipin.
Be it for more efficient energy harvesting and storage or for better superconductors — Arkady Krasheninnikov’s simulations carried out with the help of PRACE resources, provide a better understanding of promising 2D materials and a basis to create new materials with tailored properties. His work has made him one of the most cited researchers in his field worldwide.
A team of scientists developed and optimised a concept for wing components that, thanks to electrically driven actuators, are able to adapt their shape as well as their vibratory behaviour during flight. This design considerably improves an aircraft’s aerodynamic performance and reduces fuel consumption. To achieve their remarkable results, the team performed extensive simulations using PRACE supercomputing resources in order to understand and control the turbulence around aircraft wings.
Powering particle accelerators with lasers has the potential to turn what is at present a hugely expensive but vital scientific tool into something far more accessible. Dr Thomas Kluge has been leading a project investigating the crucial phase just before the emission of ultra-intensity laser pulses that are used to accelerate ions.
In a way, superradiance is the ne plus ultra of radiation. Its powerful light is critical for many experiments in a broad range of scientific fields, but it has also been notoriously difficult to generate. Now, with the help of “Piz Daint” at CSCS in Switzerland and PRACE resources, a group of scientists has expanded the concept of superradiance and found a way to more easily generate the valuable radiation. They are calling the novel concept “generalised superradiance”.
Data sent over the internet relies on public key cryptographical systems to remain secure. Paul Zimmermann of INRIA has been leading a project that has been carrying out record computations of integer factorisation and the discrete logarithm problem, the results of which are used as a benchmark for setting the length of the keys needed to keep such systems secure.
Despite decades of research, current climate models still contain a substantial degree of uncertainty that hampers accurate projections of climate change effects such as sea level rise and extreme weather events. Recently, however, climate scientists