
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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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 ...
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 ...
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 ...
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 ...
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 ...
The flow conditions at the combustor turbine interface (CTI) have a significant role in the development process of ...
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
The aim of this work is the development and validation of a numerical model of the coal gasification in a fluidized bed ...
In industrial low-density polyethylene (LDPE) production, mixtures of organic peroxide initiators are used to start the ...
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
In numerous new fields of technology (including lightweight construction, medical technology) it is desirable to ...
Nowadays, the design and optimization of fluidized beds are primarily based on experimental investigations which are ...
The high pressure turbine design is strongly affected by the flow in the upstream combustor. Very high temperatures ...
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...