
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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Sodium bismuth titanate-barium titanate (Na0.5Bi0.5TiO3-BaTiO3, abbreviated as NBT- BT) with high Curie temperature and ...
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
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 ...
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 ...
In the past centuries chemists have established a solid knowledge for the synthesis of molecules in solution. With the ...
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 ...
A jet engine’s high-pressure turbine, which is located downstream of the combustor, is subject to an extremely high ...
The potential of chalcogenides in applications like optoelectronics, thermoelectrics, transparent contacts, and thin ...
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
A quantum computer is a device that exploits quantum behavior to solve a computational problem that cannot be tackled ...
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
Spray drying is one of the most used manufacturing techniques by the pharmaceutical industry. It enhances the ...
Heusler alloys are a remarkable class of intermetallic materials with a wide spectrum of intriguing physical properties ...
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
We survey the landscape of MAB and Mbene superconductors out of our previous high-throughput predictions using first ...
Motivated by the cost-cutting in the process of vehicle certification, the industry sees a growing potential in the ...