Selected Case Studies

Showing 1 - 8 of 8 Results

  • Real-Time Signal Processing in Optical Coherence Tomography (OCT) at Fraunhofer IPT


    Optical coherence tomography (OCT) systems are developed at the Fraunhofer Institute for Production Technology (IPT) for medical and industrial applications. OCT is an imaging technique that relies on a signal processing chain. This chain used in Fraunhofer’s OCT systems covers, e.g., the acquisition of data from a line scan camera, image-related adjustments, a Fourier transformation, and the reduction of signal noise. Since these OCT systems are required to provide high spatial and temporal resolution in production setups, e.g., video frame rate (25 frames/s), the parallelization and tuning of the signal processing chain is crucial. more

    Figure: Fraunhofer IPT


  • Accurate Simulation of the Crystallization Process in Injection Molded Plastic Components at the Institute for Plastics Processing (IKV)

    Injection molding is very important in plastics processing since it enables cheap and easily adaptable large-scale production of plastic components. As the microstructure of semicrystalline thermoplastics has a huge impact on the mechanical properties, the Institute for Plastics Processing at RWTH Aachen University (IKV) has developed the simulation software SphäroSim which can predict the microstructure of semicrystalline thermoplastics during solidification. Due to the long runtime of the simulation, high-resolution simulations are restricted to small areas.  more

  • Quantum Mechanical Simulation of Impurities and Defects Embedded in Materials for Quantum Information Technology


    The JuKKR package is developed at Research Center Juelich and contains a collection of codes for electronic structure calculations based on the Korringa-Kohn-Rostocker-Green's function method. One part of JuKKR is the KKRimp code, which allows the quantum mechanical simulation of impurities and defects embedded in a variety of materials. This allows unparalleled insights into their electronic and magnetic properties. Moreover, it allows to describe scattering of electrons off defect atoms. Recently, the code has been extended to describe defects embedded in superconductors which is an important ingredient in the search for materials that are useful for future stable quantum computing applications. more

    Figure: Philipp Rüßmann, Forschungszentrum Jülich

  • Cosmic-ray physics with the AMS experiment on the international space station

    HPC kosmische Strahlung AMS

    What is the nature of Dark Matter? What happened to the antimatter that must have been produced in the Big Bang? Where are cosmic rays accelerated and how do they propagate through the Milky Way? As a multi-purpose instrument for the precision spectroscopy of cosmic rays, AMS was conceived to answer fundamental questions about our Universe. CLAIX supports scientists of the I. Physikalisches Institut B at RWTH Aachen University with the analysis of the data gathered by AMS. more

    Photo: I. Physikalisches Institut B

  • MPEG Standardization

    hpc MPEG standardization

    The RWTH is involved in the development of a new standard for the compression of audio and video files (Versatile Video Coding, VVC). With the VVC method, a higher compression efficiency of the data is accompanied, which is fundamental for various future applications such as 4K streaming or virtual reality. The use of High-Performance Computing capacities such as CLAIX is essential for the extremely complex coding process which ends up in the new VVC standard. more

    Photo: Institut für Nachrichtentechnik

  • Coupling OpenFOAM with an Artificial Neural Network as a Reduced-Order Model for Reaction Kinetics


    The problem of global warming requires research of efficient and low emission combustion applications. Large Eddy Simulations (LES) of turbulent reactive flows are an important numerical tool to enable this research. However, modeling of non-linear reaction kinetics in reactive flows is challenging. Simulations with highly resolved detailed chemistry are often unfeasible to apply to practical combustors due to prohibitive computational cost. One technique to reduce the computational effort is tabulated chemistry using flamelet-generated manifolds. However, this approach imposes severe memory limitations. To reduce memory usage and to enable the investigation of more complex cases, a data-driven modeling approach using machine learning is a promising alternative. In this approach an artificial neural network (ANN) was trained to learn the non-linear relationship between thermochemical control variables and the chemical source terms. more

    Figure: T. Jeremy P. Karpowski, TU Darmstadt, STFS

  • Towards Software-Based Real-Time Singles and Coincidence Processing in Positron Emission Tomography (PET) at the Institute for Experimental Molecular Imaging (ExMI)

    HPC Study PET MRI Scanner

    For the deployment of novel PET scanners developed in the context of the HYPMED project, the institute for Experimental Molecular Imaging (ExMI) aims at utilizing software-based approaches for its singles and coincidence processing chain. Contrary to current hardware-based implementations, this allows for easier prototyping and the retrieval of raw scanner data, which would otherwise be lost. However, achieving real-time processing throughput becomes a challenge with the increasing data streams of the scanners and the growing complexity of state-of-the-art positioning algorithms. more

    Photo: Weissler et al. [5]

  • All-electron DFT simulations of particle-like magnetic objects


    The project aims at performing ab initio calculations of complex magnetic textures and particle-like structures like skyrmions and Bloch points. Recent performance improvements of the full-potential all-electron DFT code FLEUR made it possible to tackle large non- collinear magnetic setups with over thousands of atoms and thus will provide new insights into electronic properties of such systems. more

    Figure: HPC.NRW