
Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Hessian scientists of various disciplines are using High Performance Computers for their research.
Displaying 31 - 60 of 163
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
The exaFOAM project [1] aims at overcoming the current limitations of Computational Fluid Dynamics (CFD) technology ...
Programming environments for today’s supercomputers must support the design of efficient programs and handle issues such ...
Over the last decades, turbomachinery has been subject of continuous improvement and fundamental research within the ...
Project VERENA aims to open new recycling paths for biogenic and municipal residues through different gasification ...
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
Ceramic materials have applications in various technological fields. They are used in many essential devices such as ...
Azides are omnipresent in organic and inorganic chemical synthesis. They are readily introduced into molecules and allow ...
The polymerization of low-density polyethylene takes place at high temperatures and pressures up to 3000 bar. Under ...
The prime goal of ab initio (hyper)nuclear structure theory is the description of correlated systems of many baryons ...
Laser-driven ion acceleration is an emerging field of research and one of the primary applications of high-power lasers ...
Voltage-dependent K+ channels are facilitators of a diverse set of physiological processes, including neuronal signaling ...
Up-to-date contact-rich manipulation tasks remain one of the grand challenges of robotics. Equipping robots with a sense ...
Learning the behavior of large agent populations is an important task for numerous research areas. Although the field of ...
The computational resources of the Lichtenberg HPC were used in this project to train physics informed machine learning ...
Multi-agent reinforcement learning (MARL) remains difficult to scale to many agents. Recent MARL using Mean Field ...
Internal combustion engines are vital to the modern transportation sector, and ongoing research is essential to optimize ...
The project seeks to create a comprehensive model linking nanoscale phenomena to larger-scale behaviors to better ...
Iron powder can help in a clean and sustainable generation of heat and power and holds the potential to replace ...
Spray cooling is a very effective method for cooling of electronic devices. The study of the impact of single and ...
Spray cooling is a very effective method for cooling of electronic devices. The study of the impact of single and ...
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
General-purpose intelligent robots are expected to simultaneously handle multiple tasks while interpreting various ...
In the research area of circular building design, design concepts for sustainable masonry are being implemented using ...
Germany has the ambitious goal of covering all electricity generation by renewable sources by 2045. The Kopernikus ...
In the past centuries chemists have established a solid knowledge for the synthesis of molecules in solution. With the ...
In response to the growing need for sustainable energy solutions and emission reduction, gas turbines offer a viable ...
Functional materials for magnetic cooling devices at room temperature are in focus for the materials scientists during ...
Reducing pollutant emissions remains a key challenge in the development of nextgeneration aero-engines. In addition to ...
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...