LATEST RESEARCH RESULTS

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

Computational and Scientific Engineering

Principal Investigator: Prof. Dr. Jörg Schuacher , TU Ilmenau

HPC Platform used: JUWELS at JSC

Local Project ID: mesoc

A team of researchers led by TU Ilmenau Professor Jörg Schumacher have been using the JUWELS supercomputer at the Jülich Supercomputing Centre to run highly detailed direct numerical simulations (DNS) of turbulent flows at the so-called mesoscale—the intermediate range where both small-scale turbulent fluid interactions and large-scale fluid dynamics converge.

Date published: September 2023

Elementary Particle Physics

Principal Investigator: Prof. Szabolcs Borsanyi , University of Wuppertal, Wuppertal

HPC Platform used: JUWELS GPU/JUWELS BOOSTER at JSC

Local Project ID: hwu34

A research team led by Prof. Szabolcs Borsányi, long-time users of Gauss Centre for Supercomputing (GCS) resources, have leveraged GCS’s world-class computing resources in pursuit of furthering our understanding of the most fundamental building blocks of matter and their respective roles in how the universe came to be.

Date published: July 2023

Elementary Particle Physics

Principal Investigator: Prof. Szabolcs Borsanyi , Universitiy of Wuppertal, Wuppertal

HPC Platform used: JEWELS_CPU JUWELS_BOOSTER at JSC

Local Project ID: heavycrit

A research team based at the University of Wuppertal has benefited from generous shares of Gauss Centre for Supercomputing (GCS) resources. Participating in many consortia involved in gaining a fundamental understanding of the universe’s most basic building blocks, the team combines numerical theory with experiment in pursuit of a richer understanding of how the universe and all that is in it came to be.

Date published: July 2023

Elementary Particle Physics

Principal Investigator: Prof. Zoltan Fodor , University of Wuppertall, Wuppertal

HPC Platform used: Hawk at HLRS

Local Project ID: GCS-denseqgp

With the help of world-class supercomputing resources from the Gauss Centre for Supercomputing (GCS), a team of researchers led by Prof. Zoltan Fodor at the University of Wuppertal has continued to advance the state-of-the-art in elementary particle physics.

Date published: July 2023

Life Sciences

Principal Investigator: Prof. Dr. Holger Gohlke , Heinrich Heine University Düsseldorf

HPC Platform used: JUWELS Booster at JSC

Local Project ID: hcn2coop

A research team led by Prof. Holger Gohlke at the Heinrich Heine University Düsseldorf is using supercomputing resources at the Jülich Supercomputing Centre (JSC) to better understand so-called hyperpolarization-activated cyclic nucleotide–gated (HCN) channels, which serve as crucial ion channels in the membrane for controlling electric pulses in the brain and heart, among other fundamental processes in the body.

Date published: July 2023

Elementary Particle Physics

Principal Investigator: Dr. Daniel Seipt , Helmholtz Institute Jena

HPC Platform used: Juwels CPU at JSC

Local Project ID: qedlwfa

Particle accelerators are among the world’s most effective methods for experiments in materials science and physics. High-intensity, laser-based accelerators are novel accelerator-concepts which are much more compact compared to conventional accelerator facilities. As next-generation facilities with even more powerful lasers begin to come online, researchers must reckon with how these devices can alter plasmas contained in these accelerators through so-called quantum electrodynamic (QED) effects. Researchers predicted how lasers in these facilities would behave, and researchers are now leveraging high-performance computing (HPC) to model these QED effects and compare with experimental data.

Date published: June 2023

Astrophysics

Principal Investigator: Dr. Denis Wittor , University of Hamburg

HPC Platform used: JUWELS at JSC

Local Project ID: hhh44

A team of researchers led by Dr. Denis Wittor at the University of Hamburg has been leveraging the high-performance power of the JUWELS supercomputer at the Jülich Supercomputing Centre (JSC) for deeper insight into radio relics, cloud of diffuse radio wave emission, often found in galaxy clusters.

Date published: June 2023

Materials Science and Chemistry

Principal Investigator: Prof. Dr. Britta Nestler , Karlsruhe Institute of Technology

HPC Platform used: Hawk at HLRS

Local Project ID: pace3D

Using HPC resources at the High-Performance Computing Center Stuttgart, a team led by Prof. Britta Nestler is improving sintering—a common process in advanced manufacturing.

Date published: June 2023

Computational and Scientific Engineering

Principal Investigator: Dr. Bernd Mohr , Forschungszentrum Jülich

HPC Platform used: JUWELS at JSC

Local Project ID: SCALASCA

The Scalasca project brings together HPC experts in pursuit of new ways to measure and improve performance for increasingly large, heterogeneous architectures.

Date published: June 2023

Elementary Particle Physics

Principal Investigator: Dr. Roman Höllwieser , University of Wuppertal

HPC Platform used: JUWELS at JSC

Local Project ID: HWU24

Using the JUWELS supercomputer at the Jülich Supercomputing Centre, researchers are simulating the so-called Brout-Englert-Higgs mechanism, or how elementary particles acquire mass.

Date published: June 2023

Elementary Particle Physics

Principal Investigator: Dr. Sara Collins , Universität Regensburg

HPC Platform used: JUWELS at JSC

Local Project ID: charmedbaryons

For decades, researchers have turned to the twin power of state-of-the-art particle accelerator facilities and world-class supercomputing facilities to better understand the mysterious world of subatomic particles. These particles are very short lived and are hard to detect with even the most advanced technologies. In recent years, researchers have used the Large Hadron Collider at CERN, among other facilities, to discover new charmed baryons.

Date published: June 2023

Life Sciences

Principal Investigator: Prof. Dr. Joseph Kambeitz , University of Göttingen

HPC Platform used: JURECA at JSC

Local Project ID: brainsim

Using the JURECA supercomputer, a team of University of Cologne researchers led by Prof. Dr. Joseph Kambeitz is simulating biophysical processes in the brain in pursuit of better understanding what leads to schizophrenia in patients.

Date published: June 2023

Astrophysics

Principal Investigator: Dr. Jenny Sorce , Ludwigs-Maximillians-Universität München

HPC Platform used: SuperMUC-NG at LRZ

Local Project ID: Pn29me

Researchers at the Ludwigs-Maximillians Universität München are focused on studying the concentration of galaxies called the Coma, which is made up of more than 1,000 galaxies in our interstellar neighborhood. Using experimental facilities and world-class computng, the team was able to simulate the Coma cluster in unprecedented detail.

Date published: June 2023

Life Sciences

Principal Investigator: Prof. Dr. Holger Gohlke , Heinrich Heine University Düsseldorf, Düsseldorf

HPC Platform used: JUWELS Booster at JSC

Local Project ID: HDD22

A research team led by Prof. Dr. Holger Gohlke and Dr. Carlos Navarro-Retamal have been using the JUWELS supercomputer at the Jülich Supercomputing Centre (JSC) to better understand how plants respond to changes in their environment at a molecular level. Specifically, the team used JUWELs to simulate how the TPC protein—also prevalent in the human body—helps facilitate information sharing between different parts of a plant in responding to changes in temperature, light, or other conditions that can affect growth. In order to gain a fundamental understanding of the process, the researchers ran computationally intensive molecular dynamics simulations of up to 600,000 atoms.

Date published: May 2023

Life Sciences

Principal Investigator: Prof. Dr. Holger Gohlke , Heinrich Heine University Düsseldorf, Düsseldorf

HPC Platform used: JUWELS Booster at JSC

Local Project ID: protil

A team of researchers led by Prof. Dr. Holger Gohlke and Till El Harrar have been using high-performance computing (HPC) resources at the Jülich Supercomputing Centre (JSC) to better understand how aqueous ionic liquids and seawater interact with enzymes relevant for a host of biotechnological applications. Recently, the team focused on how aqueous ionic liquids—reminiscent to molten salts, certain types of mineral-rich hydrothermal waters and the like—impact behavior of the enzymes Lipase A from Bacillus subtilis. The team published three papers on its research.

Date published: May 2023

Environment and Energy

Principal Investigator: Prof. Xiaoxiang Zhu , Remote Sensing Technology Institute, German Aerospace Center, Data Science in Earth Observation, Technical University of Munich

HPC Platform used: SuperMUC-NG at LRZ

Local Project ID: pr53ya, pr45ne

A team of researchers led by Prof. Xiaoxiang Zhu at the Technical University of Munich are using high-performance computing resources at the Leibniz Supercomputing Centre to create the first-ever 3D/4D dataset on urban morphology of settlements, joining traditional remote sensing data with social media content.

Date published: May 2023

Materials Science and Chemistry

Principal Investigator: Prof. Dr. Marcus Müller , Georg-August-Universitat Göttingen, Institut für Theoretische Physik

HPC Platform used: JUWELS Booster at JSC

Local Project ID: somabooster

Polymers are a broad class of materials: From nylon and rubber to materials for advanced material design, polymers are long chains of repeating units. Diblock copolymers consist of two halves that repel each other and self-assemble into different phases, creating shapes such as cylinders at the molecular scale. These cylinders arrange as parallel within an individual grain but, on large scales, there are multiple grains that differ in the orientation of their cylinders.

Date published: May 2023

Materials Science and Chemistry

Principal Investigator: Prof. Dr. Karsten Reuter , Fritz-Haber-Institut der Max-Planck-Gesellschaft Berlin

HPC Platform used: JUWELS Cluster at JSC

Local Project ID: tmosdes

A group of researchers from the Fritz Haber Institute and Aarhus University in Denmark have leveraged the power of the JUWELS supercomputer at the Jülich Supercomputing Centre (JSC) to develop a machine learning algorithm that helps predict how specific molecules bind to the surface of a catalyst. Catalysts play an essential role in many chemical processes, and how specific molecules interact with these materials can influence the efficiency, effectiveness, and safety of chemical reactions at an industrial scale.

Date published: May 2023

Elementary Particle Physics

Principal Investigator: Prof. Dr. Frithjof Karsch , Universität Bielefeld, Faculty of Physics

HPC Platform used: JUWELS Booster at JSC

Local Project ID: chbi20

A research team led by Prof. Frithjof Karsch at Bielefeld University has been using the JUWELS supercomputer at the Jülich Supercomputing Centre (JSC) as part of the international HOTQCD collaboration to better understand the conditions under which particles made of protons, neutrons, and pions go through phase transitions, and how those changes impact the system’s behavior and give rise to new forms of matter, such as quark-gluon plasma.

Date published: May 2023

Elementary Particle Physics

Principal Investigator: Prof Dr. Frithjof Anders , Department of Physics, TU Dortmund University

HPC Platform used: JURECA Booster and JUWELS at JSC

Local Project ID: chdo09

Using high-performance computing (HPC) resources at the Jülich Supercomputing Centre, a team of researchers led by Technical University of Dortmund Professor Frithjof Anders is gaining a better understanding of electrons’ behaviors in so-called quantum dots.

Date published: May 2023

For a complete list of projects run on GCS systems, go to top of page and select the scientific domain of interest in the right column.

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Computing Time and Application Deadlines

GCS Computing Resources

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Large Scale Projects

The call for large scale projects is issued twice a year. For an overview of approved large-scale projects, please chose from the lists.