
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Displaying 1 - 30 of 113
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 ...
Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
This project’s main objective is the numerical analysis of mechanically ventilated rooms in different scenarios under ...
Mesoporous materials, which have pore sizes in the range of 10-200 nanometers, have attracted significant attention due ...
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
The exaFOAM project [1] aims at overcoming the current limitations of Computational Fluid Dynamics (CFD) technology ...
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
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 ...
In the research area of circular building design, design concepts for sustainable masonry are being implemented using ...
Germany has the ambitious goal of covering all electricity generation by renewable sources by 2045. The Kopernikus ...
Layered transition metal oxides, derived from the model system LiCoO2, are used as cathode materials in Li-ion batteries ...
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
Metal fuels are promising green energy carriers due to their high volumetric energy density, recyclability, and ...
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
The application of metallic glasses (MGs) is limited by their brittle behavior at room temperature [1]. In order to ...
A jet engine’s high-pressure turbine, which is located downstream of the combustor, is subject to an extremely high ...
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Spray drying is one of the most used manufacturing techniques by the pharmaceutical industry. It enhances the ...
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
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 ...
The low-density polyethylene polymerization process takes place at high pressure and temperatures. Knowledge of the ...
This project aims to investigate various renewable fuels in 3D spray simulations (synthetic and biogenetic). For ...
The project was majorly dedicated to build cell mechanistic models and study cell mechanics and cell migration. Both ...
The project aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...
Droplet impingement and spreading are of particular relevance for various technical applications, including inkjet ...