
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 71
Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
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 ...
The polymerization of low-density polyethylene takes place at high temperatures and pressures up to 3000 bar. Under ...
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 ...
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
Layered transition metal oxides, derived from the model system LiCoO2, are used as cathode materials in Li-ion batteries ...
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 ...
The application of metallic glasses (MGs) is limited by their brittle behavior at room temperature [1]. In order to ...
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 ...
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...
The low-density polyethylene polymerization process takes place at high pressure and temperatures. Knowledge of the ...
The simulation of materials on the atomistic scale requires a description of interatomic interactions. Quantum ...
The project was majorly dedicated to build cell mechanistic models and study cell mechanics and cell migration. Both ...
The project aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...
Active matter consisting of motile agents such as bacteria, algae, or synthetic microswimmers on the microscale and ...
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...
Coarse-grained molecular dynamics (MD) simulation provides a faster alternative to all-atom MD simulation, essential for ...
The flow conditions at the combustor turbine interface (CTI) have a significant role in the development process of ...
Nowadays, atomistic simulations are becoming more and more important. Due to the increasing availability 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 ...