
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 1 - 30 of 126
Predicting the lifetime of components designed for very high temperatures is crucial for improving the efficiency and ...
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
Biomass-derived fuels are promising candidates to replace traditional fossil-based fuels for mobility and propulsion but ...
When procuring an HPC system, the system need to fulfill certain criterias, regarding performance but also energy ...
The field of protein engineering is a rapidly evolving area of research that holds great promise for numerous ...
The investigation of novel or optimizing established processes is of paramount importance in chemical engineering in the ...
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 ...
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
The polymerization of low-density polyethylene takes place at high temperatures and pressures up to 3000 bar. Under ...
Up-to-date contact-rich manipulation tasks remain one of the grand challenges of robotics. Equipping robots with a sense ...
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 ...
General-purpose intelligent robots are expected to simultaneously handle multiple tasks while interpreting various ...
In response to the growing need for sustainable energy solutions and emission reduction, gas turbines offer a viable ...
The human brain is an ever-developing complex organ – it does so even during adult life, e.g., as a reaction to learning ...
During keyboard typing, hand and finger movements induce alterations in Wi-Fi signal propagation, reflected in Channel ...
Starting from the initial project idea outlined in the project proposal, the research evolved significantly, branching ...
This research project tackles the significant challenge of identifying genuine variables associated with diseases from ...
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
In the realm of High-Performance Computing (HPC), the Message Passing Interface (MPI) has established itself as a ...
The project focuses on the cryptanalysis of the Supersingular Isogeny (SSI) path problem, which underlies the isogeny ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...