
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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Nucleate boiling is a very efficient heat transfer mechanism. It is used in a wide variety of applications on Earth ...
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
Plasma actuators, Figure 1, represent flow control devices that have no moving parts and that work by ionizing the air ...
This project’s main objective is the numerical analysis of mechanically ventilated rooms in different scenarios under ...
Green hydrogen has been identified as an important energy carrier for the future energy economy. However, due to the ...
Mesoporous materials, which have pore sizes in the range of 10-200 nanometers, have attracted significant attention due ...
The investigation of novel or optimizing established processes is of paramount importance in chemical engineering in the ...
The exaFOAM project [1] aims at overcoming the current limitations of Computational Fluid Dynamics (CFD) technology ...
Internal combustion engines are vital to the modern transportation sector, and ongoing research is essential to optimize ...
Spray cooling is a very effective method for cooling of electronic devices. The study of the impact of single and ...
Spray cooling is a very effective method for cooling of electronic devices. The study of the impact of single and ...
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
In response to the growing need for sustainable energy solutions and emission reduction, gas turbines offer a viable ...
The German government’s National Hydrogen Strategy has identified hydrogen as a crucial technology in achieving the ...
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
Metal fuels are promising green energy carriers due to their high volumetric energy density, recyclability, and ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
Spray drying is one of the most used manufacturing techniques by the pharmaceutical industry. It enhances the ...
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
Motivated by the cost-cutting in the process of vehicle certification, the industry sees a growing potential in the ...
This project aims to investigate various renewable fuels in 3D spray simulations (synthetic and biogenetic). For ...
Droplet impingement and spreading are of particular relevance for various technical applications, including inkjet ...
Stainless steel doctor blading is a preferred method for predosing inks in industrial mass printing, offering ...
Spray cooling is a very effective method for cooling of electronic devices. The study of the impact of single and ...
Despite the motion of drops seeming a simple phenomenon, the behavior of a droplet on an inclined solid surface is far ...
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...