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Latest Projects (Overview)

Find out about the latest simulation projects run on the GCS supercomputers. For the complete overview of projects, sorted by research fields, please choose from the list in the left column.

3D Supernova Simulations with 3D Progenitors and Muon Physics

3D Supernova Simulations with 3D Progenitors and Muon Physic

Traditionally, numerical simulations of core-collapse supernovae have been performed with spherically symmetric initial models for the progenitor stars, because stellar evolution is computed with this restriction. Recently, however, it has been demonstrated that pre-collapse asymmetries in the convectively burning oxygen shell can have an impact on the explosion by enhancing turbulence behind the supernova shock. In this project researchers simulated the final seven minutes of oxygen burning and the subsequent collapse of a 19 solar-mass star in order to investigate the consequences of pre-collapse asymmetries for the supernova explosion.

Principal Investigator: Hans-Thomas Janka, Max-Planck-Institut für Astrophysik, Garching (Germany)
HPC Platform: SuperMUC (LRZ) - Date published: March 2019 (pr53yi)
More: 3D Supernova Simulations with 3D Progenitors and Muon Physic …

Simulation of Cavitation Phenomena in Francis Turbines

Simulation of Cavitation Phenomena in Francis Turbines

In the last decades, hydro power plants have experienced a continual extension of the operating range in order to integrate other renewable energy sources into the electrical grid. When operated at off-design conditions, the turbine experiences cavitation which may reduce the power output and can cause severe damage in the machine. Cavitation simulations are necessary to investigate phenomena like the full load instability. The goal of this project is to understand the physical mechanisms that result in an instability at off-design conditions to identify measures that can avoid the occurrence of instability.

Principal Investigator: Jonas Wack, Institute of Fluid Mechanics and Hydraulic Machinery, University of Stuttgart (Germany)
HPC Platform: Hazel Hen of HLRS - Date published: March 2019 (HYPERBOL)
More: Simulation of Cavitation Phenomena in Francis Turbines …

Toward the Anomalous Magnetic Moment of the Muon from 2+1‑Flavour Lattice QCD

Toward the Anomalous Magnetic Moment of the Muon from 2+1‑Flavour Lattice QCD

Lattice Quantum Chromodynamics (Lattice QCD) is a first-principles, non-perturbative formulation of the theory of the strong interaction that allows for numerical simulations with systematic control of theoretical uncertainties, and which has a long and successful history of providing the information required for a quantitative understanding of strong interaction physics at low energies. Nevertheless, a number of quantities could not be studied so far with the desired level of control of statistical and systematic uncertainties; this includes the hadronic contribution to the anomalous magnetic moment of the muon, a precise determination of which is currently the most promising avenue in the search for physics beyond the Standard Model (SM) of particle physics. Here, reserachers investigate this quantity, among others, using lattice QCD simulations on fine and large lattices in order to control systematic uncertainties and enable a precise theoretical prediction.

Principal Investigator: Georg von Hippel, Institut für Kernphysik, Johannes Gutenberg-Universität Mainz (Germany)
HPC Platform: JUQUEEN of JSC - Date published: March 2019 (hmz23)
More: Toward the Anomalous Magnetic Moment of the Muon from 2+1‑Flavour Lattice QCD …

The Sonic Scale Revealed by the World’s Largest Turbulence Simulation

The Sonic Scale Revealed by the World’s Largest Turbulence Simulation

Understanding turbulent gases and fluids is critical for a wide range of terrestrial and astrophysical applications. Here we present the world's largest turbulence simulation to date. This GCS Large-Scale Project on SuperMUC consumed 45 million core hours and produced 2 PB of data. It is the first and only simulation to bridge the scales from supersonic (Mach > 1) to subsonic (Mach < 1) flow and resolves the sonic scale (where the Mach number = 1). The sonic scale is a key ingredient for star formation models and may determine the size of filamentary structures in the interstellar medium.

Principal Investigators: Christoph Federrath, Australian National University and Ralf S. Klessen, Universität Heidelberg (Germany)
HPC Platform: SuperMUC (LRZ) - Date published: March 2019 (pr32lo)
More: The Sonic Scale Revealed by the World’s Largest Turbulence Simulation …

Climate Change Studies for Germany

Climate Change Studies for Germany

The University of Hohenheim contributed with five regional climate simulations to the multi-model ensemble of EURO-CORDEX. The ensemble data is required to analyze the climate change signals in Europe and to provide high-resolution products for climate impact research and politics for 1971 to 2100.

Principal Investigator: Kirsten Warrach-Sagi, University of Hohenheim (Germany)
HPC Platform: Hazel Hen (HLRS) - Date published: March 2019 (WRFCLIM)
More: Climate Change Studies for Germany …

The SPHINX Simulations of the First Billion Years and Reionization

The SPHINX Simulations of the First Billion Years and Reionization

The formation of the first galaxies marked the end of the cosmological dark ages. Radiation from the first stars ionized and heated inter-galactic gas. As these ionized gas bubbles grew and percolated, the whole Universe was transformed from a dark, cold, neutral state into a hot ionized one, about a billion years after the Big Bang. The SPHINX cosmological radiation-hydrodynamics simulations of the first billion years are designed to understand the formation of the first galaxies and how they contributed to reionization via the interplay of star formation, stellar radiation, and powerful supernova explosions that disrupt galaxies and allow their radiation to escape into inter-galactic space.

Principal Investigator: Joakim Rosdahl, Centre de Recherche Astrophysique de Lyon (France)
HPC Platform: SuperMUC (LRZ) - Date published: March 2019 (pr53na)
More: The SPHINX Simulations of the First Billion Years and Reionization …

Scalable Computational Molecular Evolution Software & Data Analyses

Scalable Computational Molecular Evolution Software & Data Analyses

The field of phylogenetics reconstructs the evolutionary relationships among species based on DNA data. Substantial DNA sequencing technology advancements now generate a data avalanche. This allows using entire genomes of a large number of species for reconstructing phylogenetic trees. Statistical reconstruction approaches are widely used, but also highly compute-intensive. Researchers substantially improved the scalability and efficiency of two such statistical open-source tools on SuperMUC. In addition, they analysed several empirical large-scale datasets in collaboration with biologists.

Principal Investigator: Alexandros Stamatakis, Heidelberg Institute for Theoretical Studies (Germany)
HPC Platform: SuperMUC of LRZ - Date published: March 2019 (pr58te)
More: Scalable Computational Molecular Evolution Software & Data Analyses …

Testing Neutrino Transport Treatments in 3D Supernova Simulations

Testing Neutrino Transport Treatments in 3D Supernova Simulations

The "ray-by-ray" approximation is a widely used simplification of the time-dependent, six-dimensional transport of all neutrino species in core-collapse supernovae. It reduces the dimensionality of the computationally challenging problem by assuming that non-radial flux components are negligible. This leads to the solution of three-dimensional (radius-, energy-, and angle-dependent) transport equations for all angular directions of the spatial polar grid. Such a task can be extremely efficiently parallelized also on huge numbers of computing cores. In this project 3D simulations were performed to test this approximation and could demonstrate its validity.

Principal Investigator: Hans-Thomas Janka, Max-Planck-Institut für Astrophysik, Garching (Germany)
HPC Platform: SuperMUC (LRZ) - Date published: March 2019 (pr62za)
More: Testing Neutrino Transport Treatments in 3D Supernova Simulations …

Structure and Dynamics of Respiratory Complex I

Structure and Dynamics of Respiratory Complex I

Respiratory complex I is the largest and most intricate enzyme of the respiratory chain and responsible for converting energy from the reduction of quinone into an electrochemical proton gradient. The aim of the project is to identify key steps in the catalytic process during enzyme turnover, and to understand the mechanism of the long-range electrostatic coupling between sites located up to 200 Å apart. Large-scale Molecular Dynamics simulations of the entire enzyme enabled the exploration of different aspects of its function. These results provide both information on the redox coupling in complex I and how natural enzymes couple distal sites by propagation of electrostatic interactions.
  
Principal Investigator: Ville R. I. Kaila, Technische Universität München (Germany)
HPC Platform: SuperMUC (LRZ) - Date published: March 2019 (pr48de)
More: Structure and Dynamics of Respiratory Complex I …

Two-Dimensional Inorganic Materials Under Electron Beam: Insights from Advanced First-Principles Calculations

Two-Dimensional Inorganic Materials Under Electron Beam: Insights from Advanced First-Principles Calculations

First-principles atomistic computer simulations which make it possible to simulate various materials without any input parameters from the experiment (except for the chemical elements the material consists of) are powerful tools in the modern materials science. Although they require supercomputers, they not only reproduce the structure and properties of the known materials, but also make it possible to predict new ones and describe the behavior of the system under various conditions, e.g., electron irradiation. In this project, irradiation effects in two-dimensional (2D) inorganic materials were studied with the main focus on transition metal dichalcogenides. The intercalation of Li atoms into bilayer graphene was also addressed.

Principal Investigator: Arkady V. Krasheninnikov, Helmholtz-Zentrum Dresden-Rossendorf (Germany)
HPC Platform: Hazel Hen of HLRS - Date published: March 2019 (PP16153638)
More: Two-Dimensional Inorganic Materials Under Electron Beam: Insights from Advanced First-Principles Calculations …

Multi-hadron States and String Breaking on Fine Lattices with Light Pions

Multi-hadron States and String Breaking on Fine Lattices with Light Pions

Confinement is the observation that quarks cannot be seen in isolation in nature. As a consequence the static potential V(r), which is defined as the energy of of a system made of a static quark and a static anti-quark separated by a distance r, grows linearly with the separation r. When r is large enough, the potential V(r) flattens due to creation of a pair of light quarks, which combine into two static-light mesons. This so called “string breaking” phenomenon provides an intuitive example of a strong decay. It can be studied through the simulation of strong interactions between quarks and gluons on a supercomputer.

Principal Investigator: Francesco Knechtli, Fakultät für Mathematik und Naturwissenschaften, Bergische Universität Wuppertal (Germany)
HPC Platform: JUQUEEN and JURECA (JSC) - Date published: March 2019 (hwu21)
More: Multi-hadron States and String Breaking on Fine Lattices with Light Pions …

Atomic Nuclei as Laboratories for Quantum Physics

Atomic Nuclei as Laboratories for Quantum Physics

How do neutrons and protons bind to form atomic nuclei? Why do we observe alpha-particle clustering in light and medium-mass nuclei but not in heavy ones? These questions can be tackled in the framework of nuclear lattice effective field theory. These investigations have revealed some intriguing features of nuclei related to much discussed quantum phenomena such as entanglement and quantum phase transitions.

Principal Investigator: Ulf-G. Meißner, Universität Bonn & Forschungszentrum Jülich (Germany)
HPC Platform: JUQUEEN of JSC - Date published: March 2019 (hfz02)
More: Atomic Nuclei as Laboratories for Quantum Physics …

Charm Physics on Fine Lattices with Open Boundaries

Charm Physics on Fine Lattices with Open Boundaries

In this project we compute the decay constants of the D and Ds mesons using numerical simulation (Lattice QCD). The decay constants are required in order to extract from experiment the CKM matrix elements, the parameters of the Standard Model of particle physics associated with weak decays. High precision determinations of the CKM matrix elements from a variety of processes are sought in order to uncover hints of physics beyond the Standard Model. A significant systematic arising in Lattice QCD simulations is that due to the finite lattice spacing. We reduce this systematic by simulating at a very fine lattice spacing.

Principal Investigator: Sara Collins, Institute for Theoretical Physics, Regensburg University (Germany)
HPC Platform: JUQUEEN (JSC) - Date published: March 2019 (hru29)
More: Charm Physics on Fine Lattices with Open Boundaries …

SILCC-ZOOM: The formation and dispersal of molecular clouds

SILCC-ZOOM: The Formation and Dispersal of Molecular Clouds

Molecular clouds form out of the diffuse interstellar medium (ISM) within galactic disks and continuously accrete gas and interact with their surroundings as they evolve. Hence the evolution of turbulent, filamentary molecular clouds has to be modeled at the same time as the surrounding multiphase ISM. In the SILCC-ZOOM project, we simulate molecular cloud formation, the star formation within them, and their subsequent dispersal by stellar feedback on sub-parsec scales in 3D, AMR, MHD simulations with the FLASH code including self-gravity, radiative transfer, and a chemical network.

Principal Investigator: Stefanie Walch-Gassner, I. Physikalisches Institut, Universität zu Köln (Germany)
HPC Platform: SuperMUC (LRZ) - Date published: February 2019 (pr62su)
More: SILCC-ZOOM: The Formation and Dispersal of Molecular Clouds …

Distribution amplitudes of the η and η' mesons

Distribution Amplitudes of the η and η' Mesons

In this project properties of two mesons, i.e. particles made up of a quark and an anti-quark, namely the η and the η', are studied by numerically simulating the underlying theory, QCD, on a four-dimensional spacetime lattice. The focus of previous studies was on establishing the masses of these particles, which are intricately related to the so-called axial anomaly. In this project, for the first time, the internal structure of these mesons was simulated too. This can be characterized in lightcone kinematics, which is relevant for collider experiments, by so-called distribution amplitudes (DAs). The normalization of a DA is also known as a decay constant. Four such previously unknown constants have been determined with full assessment of all systematics.

Principal Investigator: Andreas Schäfer, Institute for Theoretical Physics, Regensburg University (Germany)
HPC Platform: JUQUEEN (JSC) - Date published: February 2019 (hru28)
More: Distribution Amplitudes of the η and η' Mesons …

R2Wall : Resolved LES to support Wall-Model Development

R2Wall: Resolved LES to support Wall-Model Development

Wind turbine and aircraft design relies on numerical simulation. Current aerodynamic models represent turbulence not directly but model its averaged impact. Such models are only reliable near the design point and require vast experience of the design engineer. Industry wants therefore to enable more accurate methods, such as wall-modeled Large-Eddy Simulation (wmLES) which represents turbulent flow structures directly. R2Wall provides a high-resolution simulation of the NACA4412 airfoil as reference data for the development of wall-models for LES and turbulence models in general. This project has enabled the definition of guidelines for future computations, and the calibration of wall-models.

Principal Investigators: Koen Hillewaert, Ariane Frère, Michel Rasquin, Cenaero Research Center (Belgium)
HPC Platform: JUQUEEN (JSC) - Date published: February 2019 (PRA096)
More: R2Wall: Resolved LES to support Wall-Model Development …

Emergent Locality in Quantum Systems with Long Range Interactions

Emergent Locality in Quantum Systems with Long Range Interactions

How fast can information travel in a quantum system? While special relativity yields the speed of light as a strict upper limit, many quantum systems at low energies are in fact described by nonrelativistic quantum theory, which does not contain any fundamental speed limit. Interestingly enough, there is an emergent speed limit in quantum systems with short ranged interactions which is far slower than the speed of light. Fundamental interactions between particles are, however, often of long range, such as dipolar interactions or Coulomb interactions. A very-large scale computational study performed on Hazel Hen revealed that there is no instantaneous information propagation even in the presence of extremely long ranged interactions and that most signals are contained in a spatio-temporal light cone for dipolar interactions.

Principal Investigators: Dr. Fabien Alet, CNRS, Toulouse University (France), and Dr. David J. Luitz, MPIPKS, Dresden (Germany)
HPC Platform: Hazel Hen (HLRS) - Date published: February 2019 (STIDS)
More: Emergent Locality in Quantum Systems with Long Range Interactions …

Sulfur in Ethylene Epoxidation on Silver

Sulfur in Ethylene Epoxidation on Silver

One of the most influential chemicals in our daily lives is something many of us will never see: ethylene oxide. This chemical is a critical ingredient in our modern world, used to make everything from the plastic fibers of our clothes to the lubricants in our cars. Virtually all of it is produced by the catalytic reaction of ethylene and oxygen over a silver surface but, while this process has been known since 1931, just how it happens has remained a mystery. Researchers have used high-performance computing to gain new insight into this mystery by identifying the structure of the active catalyst surface and showing how it mediates the reaction of ethylene and oxygen to form ethylene oxide.

Principal Investigator: Travis Jones, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Department of Inorganic Chemistry, Berlin (Germany)
HPC Platform: Hazel Hen of HLRS - Date published: January 2019 (SEES2)
More: Sulfur in Ethylene Epoxidation on Silver …

LACEHIP: LArge scale CEllular model of the HIPpocampus

LACEHIP: LArge scale CEllular model of the HIPpocampus

The main aim of this project was the development of the first detailed large-scale 3D model of the CA1 area of the hippocampus, a brain region well known for being involved in cognitive processes and deeply affected by aging and major brain diseases such as Alzheimer’s Disease and Epilepsy. Because of the current limitations in the experimental techniques, the cellular mechanisms underlying these processes remain relatively unknown. With our model, we maintain the 3D layout of the real system, and the neurons’ activity can be observed in exactly the same format as the in vivo recordings, with the fundamental advantage of being able to track network, cellular, and synaptic activity at any point of the network, and directly compare the results with experiments at all levels, including fMRI and EEGs. We expect that the model will significantly advance the state of the art in the field, and will help to predict and explain several experimental and behavioral data.
  
Principal Investigator: Michele Migliore, Consiglio Nazionale delle Ricerche (CNR), I.B.F. (Italy)
HPC Platform: JUQUEEN of JSC - Date published: January 2019 (PRA098)
More: LACEHIP: LArge scale CEllular model of the HIPpocampus …

HETS: HEat (and Mass) Transfer in Turbulent Sprays (PRACE)

HETS - HEat (and Mass) Transfer in Turbulent Sprays

The focus of this project is the direct numerical simulation (DNS) of an evaporating spray in a turbulent channel flow. The complexity of the phenomenon lies in the nonlinear interaction of phase change thermodynamics and turbulent transport mechanisms at a multitude of scales. The recent availability of larger supercomputing power, together with our novel technique to treat efficiently the interface resolved phase change, enables us to perform the first DNS of more than 14k droplets evaporating in turbulent flow, with full coupling of momentum, heat and mass transfer, both intra- and inter-phase.

Principal Investigator: Luca Brandt, Department of Mechanics, KTH, Royal Institute of Technology (Sweden)
HPC Platform: Hazel Hen (HLRS) - Date published: January 2019 (PP16153682)
More: HETS - HEat (and Mass) Transfer in Turbulent Sprays …

Disconnected contributions to Generalized Form Factors (GPDs)

Disconnected Contributions to Generalized Form Factors (GPDs)

The main focus of high energy physics research is the search for signals of physics beyond the Standard Model. Many of the experiments built for this purpose involve protons or neutrons (collectively termed nucleons), either in the beam, such as at the Large Hadron Collider at CERN, or within the nuclei of the targets, such as those used for dark matter detection experiments. In order to extract information on the underlying interactions occurring in these experiments between quarks and other fundamental particles, one needs to know the distribution of the quarks within the nucleon. Lattice QCD simulations of the strong interactions between quarks and gluons can provide information on the momentum, spin and angular momentum of these particles within the nucleon. In general one distinguishes between elastic scattering processes where the nucleon is left intact and inelastic scattering where the nucleon is destroyed. Both aspects can be parameterized in terms of quark and gluon generalized parton distributions (GPDs). These will be measured at the proposed Electron Ion Collider (EIC) in the US. This project computes the moments of the GPDs, the so called generalised form factors. Disconnected contributions must be evaluated in order to access the moments for the individual quark flavours.

Principal Investigator: Andreas Schäfer, Institute for Theoretical Physics, Regensburg University (Germany)
HPC Platform: SuperMUC (LRZ) - Date published: January 2019 (pr74po, pr48gi, pr84qe)
More: Disconnected Contributions to Generalized Form Factors (GPDs) …

Conformational Dynamics in Alzheimer Peptide Formation and Amyloid Aggregation

Conformational Dynamics in Alzheimer Peptide Formation and Amyloid Aggregation

The generation and assembly of Aβ peptides into pathological aggregates is associated with neurodegenerative diseases including Alzheimer’s disease. Goal of this project was to better understand the dynamics of γ-secretase a key enzyme for the formation of Aβ peptides using large scale Molecular Dynamics simulations and how it associates with substrate molecules. Using the HPC system SuperMUC it was possible to characterize local and global motions of γ-secretase in atomic detail and how it is related to function. In addition, large scale simulations were employed to investigate the amyloid propagation mechanism at the tip of an already formed amyloid fragment. The kinetics and thermodynamics of the process were analyzed and compared to alternative amyloid secondary nucleation events.
  
Principal Investigator: Martin Zacharias, Lehrstuhl für Molekulardynamik, Physik-Department T38, Technische Universität München (Germany)
HPC Platform: SuperMUC (LRZ) - Date published: January 2019 (pr48po)
More: Conformational Dynamics in Alzheimer Peptide Formation and Amyloid Aggregation …

High-Resolution Ocean Modelling on Unstructured Meshes

High-Resolution Ocean Modelling on Unstructured Meshes

Results from high-resolution simulations with the sea ice-ocean model FESOM, formulated on unstructured meshes, are presented in which ocean eddies are resolved in the North Atlantic region. By resolving ocean eddies, these features are represented by the laws of physics rather than empirical rules of thumb, as done in most existing climate simulations. A comparison with satellite data suggests that the simulated eddy fields start to become indistinguishable from observations, showing that the model passes the climatic Turing Test. It is argued that these high-resolution resolution models have the potential to significantly increase our understanding of how the climate in general and the ocean in particular will be evolve in a warming world.

Principal Investigator: Prof. Dr. Thomas Jung, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI), (Germany)
HPC Platform: Hazel Hen (HLRS) - Date published: January 2019 (GCS-AWCM)
More: High-Resolution Ocean Modelling on Unstructured Meshes …

Large Eddy Simulations of Micro-Vortex Generators for Shock Wave/Turbulent Boundary Layer Interaction

Large Eddy Simulations of Micro-Vortex Generators for Shock Wave/Turbulent Boundary Layer Interaction

In this study, researchers in fluid mechanics at ISAE-SUPAERO investigate possible control of shock boundary layer interaction, a well known flow phenomenon occuring on high speed supersonic devices. In particular, low frequency modes have a significant impact on the device load. High fidelity simulations of turbulent flows are performed to understand the modifications of the flow field induced by the microramp vortex generators located upstream the interaction.

Principal Investigator: Julien Bodart, ISAE-SUPAERO, Université de Toulouse (France)
HPC Platform: JUQUEEN (JSC) - Date published: January 2019 (PRA097)
More: Large Eddy Simulations of Micro-Vortex Generators for Shock Wave/Turbulent Boundary Layer Interaction …

Towards Large-Eddy Simulation of Primary Atomization of Liquid Jets

Towards Large-Eddy Simulation of Primary Atomization of Liquid Jets

Primary goal of this project, run on HPC system SuperMUC of LRZ, was the establishing of a direct numerical simulation (DNS) data base of primary breakup of a liquid jet injected into stagnant air. Due to the wide range of time and length scales the development of a predictive large eddy simulation (LES) framework is highly desirable. However, the multiscale nature of atomization is challenging, as the presence of the phase interface causes additional subgrid scale terms to appear in the LES formalism. DNS provides fully resolved flow fields and flow statistics for a-priori subgrid scale analysis and a-posteriori LES validation.

Principal Investigators: Markus Klein and Sebastian Ketterl, Institute of Mathematics and Applied Computing, Bundeswehr University Munich (Germany)
HPC Platform: SuperMUC (LRZ) - Date published: January 2019 (pr48no)
More: Towards Large-Eddy Simulation of Primary Atomization of Liquid Jets …

Advanced Load Balancing for Complex Problems

Robust Massively Parallel Sorting

Sorting is one of the most fundamental and widely used algorithms. It can be used to build index data structures, e.g., for full text search or for various applications in bioinformatics. Sorting can also rearrange data for further processing. In particular, it is a crucial tool for load balancing in advanced massively simulations. The wide variety of applications means that we need fast sorting algorithms for a wide spectrum of situations. Researchers have developed massively parallel robust sorting algorithms, apply new load balancing techniques, and systematically explore the design space of parallel sorting algorithms.

Principal Investigator: Peter Sanders, Institute of Theoretical Informatics, Karlsruhe Institute of Technology (Germany)
HPC Platform: JUQUEEN (JSC) - Date published: December 2018 (hka17)
More: Robust Massively Parallel Sorting …

The ClimEx Project: Investigating Climate Variability to Study Extreme Events in a Warming World

The ClimEx Project: Investigating Climate Variability to Study Extreme Events in a Warming World

Hydrometeorological extremes, such as droughts and floods are one of the grand challenges of our future and pose great interest and concern for water management and public safety. Hence, the ClimEx project disaggregates the response of the climate system into changing anthropogenic forcing and natural variability by analyzing a novel large-ensemble of climate simulations, operated using High-Performance Computing. The comprehensive new dataset (CRCM5-LE) generated 50 transient independent and evenly likely realizations of the past and the future climate (1950-2099) over two large domains (Europe, Eastern North America) in high spatial (12km) and temporal (1h-1d) resolution. The resulting 7500 model years allow for a thorough analysis of extreme statistics and derivation of robust estimates of return values for hydrometeorological extreme events (e.g. floods) under current and future climate conditions.

Principal Investigator: Ralf Ludwig, Ludwig-Maximilians-Universität München (Germany)
HPC Platform: SuperMUC of LRZ - Date published: December 2018 (pr94lu)
More: The ClimEx Project: Investigating Climate Variability to Study Extreme Events in a Warming World …

Highly-Resolved Numerical Simulation of Combustion in Energy Conversion Processes

Highly-Resolved Numerical Simulation of Combustion in Energy Conversion Processes

Direct numerical simulation (DNS) has been applied to study the noise emitted by combustion processes. A highly efficient numerical tool based on the public domain code OpenFOAM has first been developed for DNS of chemically reacting flows, including detailed calculations of transport fluxes and chemical reactions. It has then be used to simulate different turbulent flame configurations to gain an insight into the flame-turbulence interaction, which represents the main noise generation mechanisms. Based on the DNS results, simple correlation models have been developed to predict combustion noise by means of unsteady heat release due to turbulent combustion.

Principal Investigator: Hening Bockhorn, Engler-Bunte-Institute/Combustion Technology, Karlruhe Institute of Technology (Germany)
HPC Platform: Hazel Hen (HLRS) - Date published: December 2018 (Cnoise)
More: Highly-Resolved Numerical Simulation of Combustion in Energy Conversion Processes …

Viscosity Estimate with Staggered Fermions

Viscosity Estimate with Staggered Fermions

Lattice QCD has played a crucial role in the determination of the true equation of state. It is a numerical approach to solve the theory of strong interactions, quantum chromodynamics (QCD), which provides first principles access to the physics of QGP. Lattice QCD assumes thermal equilibrium, where also the equation of state is defined. Researchers calculated this input to hydrodynamics in a succession of projects with the goal to investigate, whether such first principle determination of the (shear) viscosity parameter is possible from lattice QCD.
  
Principal Investigator: Szabolcs Borsanyi, University of Wuppertal (Germany)
HPC Platform: JUQUEEN of JSC - Date published: December 2018 (hwu30)
More: Viscosity Estimate with Staggered Fermions …

DNS of Turbulent Plane Couette Flow with Wall-normal Transpiration Velocity

Direct Numerical Simulation of Turbulent Plane Couette Flow with Wall-normal Transpiration Velocity

Channel flows are important references for studying turbulent phenomena in a simplified setting. The present project investigates Couette flow, i.e. channel flow driven by a moving wall. Although important to many practical applications, Couette flows have been studied considerably less than other canonical flows, for (a) the experimental setup is very complex, and (b) long and wide structures are present which are characteristic to Couette-type flows. This accounts for long and wide computational domains, which make direct numerical simulations of Couette flow expensive. Even by applying permeable boundary conditions, i.e. blowing from the lower and suction from the upper wall, the Couette-type structures could not be destroyed. Instead, new and unexpected structures close to the wall are observed in the spectra.

Principal Investigator: Martin Oberlack, TU-Darmstadt (Germany)
HPC Platform: SuperMUC of LRZ - Date published: December 2018 (pr92la)
More: Direct Numerical Simulation of Turbulent Plane Couette Flow with Wall-normal Transpiration Velocity …

Direct Numerical Simulation of Turbulent Flow Past an Acoustic Cavity Resonator

Direct Numerical Simulation of Turbulent Flow Past an Acoustic Cavity Resonator

A cavity in a turbulent gas flow often leads to an interaction of vortex structures and acoustics. By exploiting this interaction, in some applications sound can be suppressed: silencers for jet engines or exhausts. In other cases, sound can be equally produced: squealing of open wheel-bays, sunroof and window buffeting, noise of pipeline intersection and tones of wind instruments. Typically, in expansive experimental runs, various configurations are tested in order to fulfill the design objectives of the respective application. Based on a 'Direct Numerical Simulation', the aim is to improve the understanding of the interactions between turbulence and acoustics of cavity resonators and to develop standalone sound prediction models, which improve and simplify the design process.

Principal Investigator: Lewin Stein, Institut für Strömungsmechanik und Technische Akustik, Technische Universität Berlin (Germany)
HPC Platform: Hazel Hen of HLRS - Date published: Nov. 2018 (AcouTurb)
More: Direct Numerical Simulation of Turbulent Flow Past an Acoustic Cavity Resonator …