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.
Autonomous materials discovery with desired properties is one of the ultimate goals for modern materials science, and ...
Soot is an unwanted particulate pollutant with detrimental impact on the human health and climate change. Its emission ...
The project focuses on the cryptanalysis of the Computational Supersingular Isogeny (CSSI) problem which underlies the ...
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Ferroelectric ceramics with perovskite structure can be used in novel cooling applications based on the electrocaloric ...
The assessment of the state of continental ice sheets has become a major issue in recent years and decades. These ...
Aerodynamics is one of the key factors in motorsport. This project aims the development and optimization of an ...
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
The prime goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on ...
One approach to the realization of safer batteries relies on all solid-state batteries (ASSB) which use a non-flammable ...
Refractory metal silicide systems like Mo-Si-Ti are expected to be ideal substrates in composite materials for high ...
Since the beginning of the past century people are interested in the mechanisms which produce the sound caused by a drop ...
In recent years studying the field of aeroacoustics has been received special attention from researches for its ...
From a practical standpoint, the combustion of liquids includes multiple interwoven processes, such as the gradual ...
The Software-Factory 4.0 (SF4.0) is a 4-year LOEWE1 project funded by the German State of Hesse and involves several ...
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
In the context of global warming, the necessity of efficient and low emission combustion applications arises. The ...
Trajectory optimization and model predictive control are essential techniques underpinning advanced robotic applications ...
Genetic Algorithms (GAs) are a popular heuristic optimization method inspired by biological evolution. We implemented a ...
The aim of the last project was to understand the CO2 activation over Au and Cu loaded ceria and bare indium oxide. In ...
The aim of this work is the development and validation of a numerical model of the coal gasification in a fluidized bed ...
Understanding forced ignition in turbulence is relevant to the development of next generation highefficiency, low ...
The dynamics of large biomolecules such as proteins or RNAs provide an important insight into their function and ...
The ab initio description of nuclear structure phenomena has progressed tremendously over the past years. In particular ...
Antiferroelectric (AFE) materials have recently been of a great interest, due to their unique applications in the energy ...
In industrial low-density polyethylene (LDPE) production, mixtures of organic peroxide initiators are used to start the ...
Reinforcement Learning is a powerful approach to achieve optimal behaviour. However, it typically requires a manual ...
In the context of global warming the necessity of efficient and low emission combustion applications arises. In addition ...
