Projects

DeepSAM: Machine Learning under Symmetries with Applications in Astronomy and Medicine

While at vastly different scales and proportions, many scientific fields face similar problems. One such problem, shared by both astronomy and …

CompIF: Efficient computation of intermolecular forces for biomolecular simulations

Molecular simulations enable the structure, dynamics, and interactions of biomolecules to be explored in detail. Trajectories (or movies) of the evolution …

KI-Morph – Petabyte-scale image analysis

Aims & Objectives The current rapid development of imaging methods for X-ray tomography has led to an increasing field of …

Uncertainty Quantification for blood pump simulation

Aims & objectives The ventricular assist device (VAD) – blood pump – is one of the most important cardiac therapeutic instruments in the …

Large high-dimensional clustering

Aims & objectives Today’s scientific and industrial data-sets often cover all aspects of the well-known big data characteristics (value, velocity, …

Hardware-aware computing for Uncertainty Quantification

Aims & Objectives In the last decades speeding up the computation of scientific applications was mostly achieved by increasing the frequency …

Uncertainty Quantification and High-Performance Computing

Aims & Objectives The increasing demand on the quality and reliability of numerical simulations of physical problems results in an increasing …

Optimal Economic Power Flow

Aims & objectives Against the background of liberalization of energy markets, increasing fuel costs and decentralized power generation by renewable energy …

Software module development for Uncertainty Quantification in HiFlow3

Aims & objectives HiFlow3 (www.hiflow3.org) is a multi-purpose finite element software providing powerful tools for efficient and accurate solution …