
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 314
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 ...
Aerodynamics is one of the key factors in motorsport. This project aims the development and optimization of an ...
Due to its high efficiency nucleate boiling is a promising process for the cooling of electronic devices either for ...
This project was a follow-up project for our initial project intended at setting up Lichtenberg Cluster for the use ...
NV centers – a nitrogen atom together with a vacancy – embedded in diamond provide a promising system to generate ...
The formation of pollutants in direct injection engines is a field of research with high practical impact. Against this ...
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 ...
For the coming years, a strongly growing use of unmanned aerial vehicles (UAV) of all classes is predicted, for example ...
One approach to the realization of safer batteries relies on all solid-state batteries (ASSB) which use a non-flammable ...
The prime goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on ...
Refractory metal silicide systems like Mo-Si-Ti are expected to be ideal substrates in composite materials for high ...
In recent years studying the field of aeroacoustics has been received special attention from researches for its ...
In wireless communications, beamforming is utilized for the reception and transmission of directional wireless signals ...
From a practical standpoint, the combustion of liquids includes multiple interwoven processes, such as the gradual ...
The Software-Factory 4.0 (SF4.0) is a 4-year LOEWE1 project funded by the German State of Hesse and involves several ...
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
The objective of this project is to compute the turbulence chemistry interactions for turbulent reacting flow. Thus, the ...
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
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 ...
The aim of the last project was to understand the CO2 activation over Au and Cu loaded ceria and bare indium oxide. In ...
The aim of this work is the development and validation of a numerical model of the coal gasification in a fluidized bed ...
Understanding forced ignition in turbulence is relevant to the development of next generation highefficiency, low ...
The dynamics of large biomolecules such as proteins or RNAs provide an important insight into their function and ...
The ab initio description of nuclear structure phenomena has progressed tremendously over the past years. In particular ...