
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 61 - 90 of 150
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
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 ...
Protein stability in the complex solution environment of the living cell depends on several environmental factors ...
A class of cluster materials with an adamantane-like core structure (AdR4 or [(RE)4T6]; R=organic structure; E=Si, Ge ...
Verdazyl radicals are discussed as a possible candidate for application in organic redox flow batteries. These species ...
The previous investigation of neutral SnN clusters with N = 6 - 20 showed that for clusters with N ≤ 15 prolate ...
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 ...
Coarse-Grained molecular dynamics simulation is a promising alternative to all-atom molecular dynamics simulation for ...
Since semiconductors are fundamental for modern technologies, the research is focused on such materials and their ...
The project focuses on an iron catalysed method to prepare unprecedented chemical synthons, developed in the group of Dr ...
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 ...
Genetic Algorithms (GAs) are a popular heuristic optimization method inspired by biological evolution. We implemented a ...
Reinforcement Learning is a powerful approach to achieve optimal behaviour. However, it typically requires a manual ...
Ammonia derived from atmospheric N2 and fossil H2 in the Haber-Bosch process represents the main source of nitrogen ...
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 ...
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
Semiconductors are the fundament of modern technology and still in the focus of current research. With decreasing size ...
Semiconductor materials are of great importance in the development of technological devices. In particular, the trend ...
Fe-N-C catalysts are a promising substitution material for rare and expensive platinum catalysts on the cathodic side of ...
This project is concerned with promoting a more efficient usage of the HPC Systems. The two major technologies used to ...