
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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When procuring an HPC system, the system need to fulfill certain criterias, regarding performance but also energy ...
The human brain is an ever-developing complex organ – it does so even during adult life, e.g., as a reaction to learning ...
Layered transition metal oxides, derived from the model system LiCoO2, are used as cathode materials in Li-ion batteries ...
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 ...
The application of metallic glasses (MGs) is limited by their brittle behavior at room temperature [1]. In order to ...
Understanding the underlying reward mechanisms of human locomotion and transferring this knowledge to humanoid robots is ...
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
The human brain is a large structure (billions of neurons and orders of magnitude more synapses) that is not understood ...
Nowadays, atomistic simulations are becoming more and more important. Due to the increasing availability of ...
Robotic manipulation stands as a largely unsolved problem despite significant advances in robotics and machine learning ...
Autonomous robotic assembly requires a well-orchestrated sequence of high-level actions and smooth manipulation ...
With increasing system performance and complexity, it is becoming increasingly crucial to examine the scaling behavior ...
The project focuses on the cryptanalysis of the Computational Supersingular Isogeny (CSSI) problem which underlies the ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
The compound semiconductor system Cu(In, Ga)(S, Se)2 (short: CIGS) forms the basis for the currently most efficient thin ...
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
In variational inference, we want to approximate an intractable target distribution (often given as a posterior ...
In previous project we investigated on the scaling and the load balancing of the Ice-sheet and Sea-level System Model ...
Typical HPC applications represent simulations of large scientific problems. Usually, these applications alternate ...
One approach to the realization of safer batteries relies on all solid-state batteries (ASSB) which use a non-flammable ...
Refractory metal silicide systems like Mo-Si-Ti are expected to be ideal substrates in composite materials for high ...
The Software-Factory 4.0 (SF4.0) is a 4-year LOEWE1 project funded by the German State of Hesse and involves several ...
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
To reduce fuel consumption, the focus in vehicle construction shifts to lightweight constructions based on Mg or Al ...
Trajectory optimization and model predictive control are essential techniques underpinning advanced robotic applications ...
Genetic Algorithms (GAs) are a popular heuristic optimization method inspired by biological evolution. We implemented a ...
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
Reinforcement Learning is a powerful approach to achieve optimal behaviour. However, it typically requires a manual ...