You can send your requests about HPC at TU to darmstadt@hpc-hessen.de
We are in a direct contact to the administrators of the Lichtenberg Cluster.
We made several numerical calculations regarding the model of Spatial Random Permutations (SRP). This is a model in ...
This project aims into testing the ability of the scale-adaptive turbulence model christened “Instability Sensitive ...
Droplet impingement and spreading are of particular relevance for various technical applications, including inkjet ...
Combustion engines are a common means to power various types of machinery. Despite the declining role of technical ...
Semiconductors are the fundament of modern technology and still in the focus of current research. With decreasing size ...
Semiconductor materials are of great importance in the development of technological devices. In particular, the trend ...
The overarching goal of our research project is the determination of the QCD topological susceptibility Xtop(T) at very ...
To model future energy systems and their markets, it is important to understand the underlying dynamics of their ...
Fe-N-C catalysts are a promising substitution material for rare and expensive platinum catalysts on the cathodic side of ...
We investigate the CrMnFeCoNi (Cantor alloy)[1] high-entropy bulk metallic glass (HE-BMG). HE-BMGs are a new amorphous ...
Employment of treatments other than heat or pressure control distinguishes the unconventional sintering from the ...
This project is concerned with promoting a more efficient usage of the HPC Systems. The two major technologies used to ...
To combat climate change effectively, the use of renewable energy must increase. However, the supply of renewable energy ...
Aerodynamic sound contributes significantly to the noise emission of high-speed applications such as trains, aircraft ...
The formation of pollutants in direct injection engines is a field of research with high practical impact. Against this ...
The crustal stress state is an important information for many geological applications, e.g. directional drilling ...
3D computational fluid dynamics (CFD) simulations are nowadays an established method in science and a tool in industrial ...
Understanding the behavior of different materials not only furthers general knowledge, but can also often be used for ...
The project aims to calculate and evaluate a series of topic models for a corpus of literary texts (a collection of ...
Among the major sources of energy supply, pulverized coal combustion (PCC) will remain one most dominant contributors in ...
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
Holding unique characteristics, such as a high strength and large elastic limit, metallic glasses are advanced materials ...
Ceria is an important support material for precious metals to catalyze oxidation reactions such as CO oxidation or the ...
Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...
The coil-globule transition of aqueous polymers is of profound significance in understanding the structure and function ...
For the understanding of materials it is often necessary to analyse them on the atomic scale. Molecular dynamics is a ...
In numerous new fields of technology (including lightweight construction, medical technology) it is desirable to ...
Magnetic interactions in transition metal complexes arise from coupling of unpaired electrons, usually localized ...
Reinforcement Learning (RL) has proven to be an empirically very successful approach to solving sequential decision ...
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
