
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 31 - 60 of 437
Multi-agent reinforcement learning (MARL) remains difficult to scale to many agents. Recent MARL using Mean Field ...
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 ...
Iron powder can help in a clean and sustainable generation of heat and power and holds the potential to replace ...
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 ...
General-purpose intelligent robots are expected to simultaneously handle multiple tasks while interpreting various ...
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 response to the growing need for sustainable energy solutions and emission reduction, gas turbines offer a viable ...
Reducing pollutant emissions remains a key challenge in the development of nextgeneration aero-engines. In addition to ...
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
The human brain is an ever-developing complex organ – it does so even during adult life, e.g., as a reaction to learning ...
While hydrogen is promising for energy storage or mobility applications, the platinum catalysts often needed to convert ...
With street traffic being a major contributor to carbon dioxide emission and global warming, alternatives to the ...
During keyboard typing, hand and finger movements induce alterations in Wi-Fi signal propagation, reflected in Channel ...
The previous investigation of SnN clusters with N = 6−40 showed that below a clusters size of about 30 atoms, a prolate ...
Combined with quantum chemical calculations, Mössbauer spectroscopy is a powerful tool to elucidate the structure of ...
Two unsolved problems in the standard model of particle physics are the strong CP-problem and the nature of dark matter ...
Two unsolved problems in the standard model of particle physics are the strong CP-problem and the nature of dark matter ...
Starting from the initial project idea outlined in the project proposal, the research evolved significantly, branching ...
This research project tackles the significant challenge of identifying genuine variables associated with diseases from ...
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 ...
Mössbauer spectroscopy is a powerful tool for investigating iron in molecular and especially amorphous systems. Combined ...
Despite the technological advancements that have been made in the field of electric vehicles, the development of ...
The German government’s National Hydrogen Strategy has identified hydrogen as a crucial technology in achieving the ...
Aeroacoustics is a critical research field that studies sound generated by turbulent flows interacting with solid ...
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
Radiation-induced lung injuries such as pneumonitis and lung fibrosis (RILF) can lead to respiratory failure and ...