
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 1 - 30 of 120
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 ...
Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
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 ...
The polymerization of low-density polyethylene takes place at high temperatures and pressures up to 3000 bar. Under ...
Internal combustion engines are vital to the modern transportation sector, and ongoing research is essential to optimize ...
The project seeks to create a comprehensive model linking nanoscale phenomena to larger-scale behaviors to better ...
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 ...
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
Layered transition metal oxides, derived from the model system LiCoO2, are used as cathode materials in Li-ion batteries ...
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 ...
The application of metallic glasses (MGs) is limited by their brittle behavior at room temperature [1]. In order to ...
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 ...
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...