
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 32
The prime goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on ...
The Software-Factory 4.0 (SF4.0) is a 4-year LOEWE1 project funded by the German State of Hesse and involves several ...
The message passing interface (MPI) is the de-facto standard for distributed high performance computing. However, it ...
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
Trajectory optimization and model predictive control are essential techniques underpinning advanced robotic applications ...
The ab initio description of nuclear structure phenomena has progressed tremendously over the past years. In particular ...
In industrial low-density polyethylene (LDPE) production, mixtures of organic peroxide initiators are used to start the ...
Reinforcement Learning is a powerful approach to achieve optimal behaviour. However, it typically requires a manual ...
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
The goal of ab initio nuclear structure theory is the description of nuclei from first principles without uncontrolled ...
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...
DNA-PKcs is a gateway protein of the Non-Homologous End Joining DNA Repair Pathway. Which is the process of repairing ...
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
The overarching goal of our research project is the determination of the QCD topological susceptibility Xtop(T) at very ...
This project is concerned with promoting a more efficient usage of the HPC Systems. The two major technologies used to ...
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
Spacecraft missions of the European Space Agency (ESA) are required to meet specific probabilistic requirements ...
G protein-coupled receptors (GPCRs) constitute a large family of membrane proteins which share a conserved structural ...
Future wireless communication systems are envisioned to meet stringent latency requirements to support control ...
Traditionally robots have been used in factories in predefined structured environments. Recently, robots are employed ...
Calculating transport properties such as the electrical conductivity of a strongly interacting hadron gas is a difficult ...
The ab initio description of nuclear physics phenomena has progressed tremendously over the past years. In particular ...
The smallest constituents of matter and their properties are studied by means of relativistic heavy ion collisions ...
In recent years interactions from chiral effective field theory (chiral EFT) have been used very successfully in ab ...
In the present investigation, the Lichtenberg supercomputer was used for the numerical simulation of steady and ...
In our project, we investigate the hardness of various instances of the shortest vector problem (SVP) which are the ...
In June 2017, ESA started systematic Level 2A processing of Sentinel-2 acquisitions over Europe using the cloud ...
The Bounded Support Spectral Solver (BoSSS) is developed as a flexible solver package to enable research in (mostly) ...
The Bounded Support Spectral Solver (BoSSS) is developed as a flexible solver package to enable research in (mostly) ...
The project investigated probabilistic motor skill learning for simulated robots. In detail the project looked into the ...