
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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Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
Over the last decades, turbomachinery has been subject of continuous improvement and fundamental research within the ...
Project VERENA aims to open new recycling paths for biogenic and municipal residues through different gasification ...
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
Iron powder can help in a clean and sustainable generation of heat and power and holds the potential to replace ...
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
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 ...
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
A decisive property of centrifugal compressors for turbochargers is the map width, which defines the area of the ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
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 ...
The fluid temperatures in the high-pressure turbine of a commercial jet engine or industrial gas turbine by far exceed ...
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...
Structural engineering, particularly concrete systems, has long focused on understanding the distribution of internal ...
The flow conditions at the combustor turbine interface (CTI) have a significant role in the development process of ...
Soot is an unwanted particulate pollutant with detrimental impact on the human health and climate change. Its emission ...
Project CLARA aims to develop Chemical Looping Gasification (CLG) technology from lab scale to industrial scale. CLG can ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Project VERENA aims to open new recycling paths for biogenic and municipal residues through different gasification ...
At industrial scale low-density polyethylene (LDPE) is produced at pressures up to 3000 bar in autoclave or tubular ...
Earth modeling is a wide field of different scientific domains, e.g., ice-modeling. All domains have in common, that ...