
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Additives are crucial for the functioning and application of plastics. They enable applications in which special ...
The dense matter equation of state (EOS), which describes the properties of matter at very high densities, plays a key ...
Sodium bismuth titanate-barium titanate (Na0.5Bi0.5TiO3-BaTiO3, abbreviated as NBT- BT) with high Curie temperature and ...
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
Predicting the lifetime of components designed for very high temperatures is crucial for improving the efficiency and ...
In modern scientific research, HPC systems are irreplaceable for advancing knowledge across various fields. However, as ...
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
Arsenic (As) contamination of groundwater is a problem of enormous scale and affects the health of millions of people ...
The field of protein engineering is a rapidly evolving area of research that holds great promise for numerous ...
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 ...
Azides are omnipresent in organic and inorganic chemical synthesis. They are readily introduced into molecules and allow ...
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 ...
General-purpose intelligent robots are expected to simultaneously handle multiple tasks while interpreting various ...
In the past centuries chemists have established a solid knowledge for the synthesis of molecules in solution. With the ...
With street traffic being a major contributor to carbon dioxide emission and global warming, alternatives to the ...
The previous investigation of SnN clusters with N = 6−40 showed that below a clusters size of about 30 atoms, a prolate ...
Starting from the initial project idea outlined in the project proposal, the research evolved significantly, branching ...
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
Mössbauer spectroscopy is a powerful tool for investigating iron in molecular and especially amorphous systems. Combined ...
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
Radiation-induced lung injuries such as pneumonitis and lung fibrosis (RILF) can lead to respiratory failure and ...
Ultracold atomic gases allow for a high control over experimental parameters such as the particle number or the ...
In the realm of High-Performance Computing (HPC), the Message Passing Interface (MPI) has established itself as a ...
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 ...
The potential of chalcogenides in applications like optoelectronics, thermoelectrics, transparent contacts, and thin ...