User Research Results

Supercomputers have become essential tools for cutting-edge science across many fields in both basic and applied research. Scientists and computational engineers from across Germany and Europe rely on HLRS's high-performance computing (HPC) systems for the computing power they need to study phenomena that are too small, too remote, or too complex to investigate in any other way. The knowledge they gain enables not only scientific discovery, but also the development of more efficient, effective, and sustainable technologies as well as new strategies for addressing global challenges in areas such as energy, mobility, health, and climate.

Select a scientific field below to read reports by users of HLRS's HPC systems describing their scientific interests and achievements.

Astrophysics

(Credit: Illustris team)

Understanding the origins of our universe gives researchers insight into how stars and planets were born. From studying supernovas to modeling large swaths of galaxies, astrophysicists use HPC to help uncover how we came to be, and how elements have spread across the universe.
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Computational and Scientific Engineering

(Image: HLRS)

HPC technologies enable researchers to accelerate research and development in industrial processes. Simulation and modelling allow researchers to shorten time-to-market for new products, while also providing new insights into older technologies for power generation, air travel, and urban planning, among others.
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Elementary Particle Physics

(Copyright: Institute of Physical Chemistry, Universität Heidelberg)

HPC technologies have helped researchers reach new frontiers in understanding how our physical world functions on the most fundemental level. Modelling and simulation enable researchers to study subatomic particle interactions in nanosecond detail, allowing for the development of new materials and technologies.
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Environment and Energy

(Image credit: J. Renewable & Sustainable Energy (2019))

Supercomputing is helping researchers both to develop next-generation energy technologies and to improve current power generation methods to be safer, cleaner, and more efficient. HPC is also used to model how environmental factors will influence the future climate on a regional level, informing decision makers to support the development of new mitigation strategies.
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Life Sciences

(Image: HLRS)

While many HPC applications deal with the world around us, researchers are also increasingly turning to HPC to help understand how our bodies work on the most fundamental level. From modelling protein binding with next-generation pharmaceuticals to simulating increasingly large swaths of the human brain or circulatory system, researchers leverage modelling and simulation to work toward a healthier society.
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Materials Science and Chemistry

(Image courtesy of the Tonner Lab)

Understanding and being able to manipulate material properties at the atomic level is important for the development of new technologies such as better batteries, smaller, more efficient computer chips, and more effective methods for generating and moving power. Supercomputing enables researchers to simulate the atomic-scale interactions in materials that determine their properties.
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