
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Displaying 61 - 90 of 147
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 ...
Recent developments in the field of complex systems have shown that real-world multiagent systems are often not ...
Metallic glasses (MGs) can be produced by quickly quenching alloy melts. They typically show a higher elastic limit and ...
Ferroelectric ceramics with perovskite structure can be used in novel cooling applications based on the electrocaloric ...
In previous project we investigated on the scaling and the load balancing of the Ice-sheet and Sea-level System Model ...
Earth modeling is a wide field of different scientific domains, e.g., ice-modeling. All domains have in common, that ...
In the context of earth system modeling the simulation of ice-sheets is an important aspect. Ice-sheet modeling contains ...
Typical HPC applications represent simulations of large scientific problems. Usually, these applications alternate ...
Since their invention in the 1960s, metallic glasses (MGs) gained great attention due to their high strength and elastic ...
Layered transition metal oxides are employed as cathode materials in high-voltage, rechargeable lithium ion batteries ...
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 ...
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 ...
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 ...
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
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 ...
The fabrication of metallic glasses by laser powder melt fusion provides a new way for the synthesis of metallic glasses ...
In 2018, Gottschall et al. proposed a multi-stimulit concept for magnetocaloric cooling. [1] The energy consumption ...
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
One important aim of modern energy-conserving technologies is magnetic cooling at room temperature. This environmentally ...