
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 1 - 30 of 49
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
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 past centuries chemists have established a solid knowledge for the synthesis of molecules in solution. With the ...
The previous investigation of SnN clusters with N = 6−40 showed that below a clusters size of about 30 atoms, a prolate ...
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 ...
Linking experimental and theoretical observations on a physical system is one of the key objectives of modern science ...
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 ...
We survey the landscape of MAB and Mbene superconductors out of our previous high-throughput predictions using first ...
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
White light generation (WLG) is one of the most puzzling and exciting topics in nonlinear optics. Strictly speaking, WLG ...
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
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 previous investigation of neutral SnN clusters with N = 6 - 20 showed that for clusters with N ≤ 15 prolate ...
Since semiconductors are fundamental for modern technologies, the research is focused on such materials and their ...
The flow conditions at the combustor turbine interface (CTI) have a significant role in the development process of ...