
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 107
Additives are crucial for the functioning and application of plastics. They enable applications in which special ...
Non-covalent interactions (NCIs) not only govern the structure biomacromolecules such as proteins and DNA, but often ...
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 ...
Biomass-derived fuels are promising candidates to replace traditional fossil-based fuels for mobility and propulsion but ...
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 ...
Azides are omnipresent in organic and inorganic chemical synthesis. They are readily introduced into molecules and allow ...
Internal combustion engines are vital to the modern transportation sector, and ongoing research is essential to optimize ...
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 ...
With street traffic being a major contributor to carbon dioxide emission and global warming, alternatives to the ...
The previous investigation of SnN clusters with N = 6−40 showed that below a clusters size of about 30 atoms, a prolate ...
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
Mössbauer spectroscopy is a powerful tool for investigating iron in molecular and especially amorphous systems. Combined ...
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 ...
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 ...
Metal nitrene compounds are highly reactive species with a unique electronic structure. Such compounds are promising ...
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
The Pd-catalyzed asymmetric allylic alkylation of cyclobutenes is known to proceed in a deracemizing, de-epimerizing and ...
This project aims to investigate various renewable fuels in 3D spray simulations (synthetic and biogenetic). For ...