Sie können Ihre Fragen zum Hochleistungsrechnen an der TU Darmstadt an darmstadt@hpc-hessen.de senden.
Das HKHLR Team in Darmstadt arbeitet eng mit den Administratorinnen und Administratoren des Lichtenberg Clusters zusammen.
The objective of this project is to compute the turbulence chemistry interactions for turbulent reacting flow. Thus, the ...
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
To reduce fuel consumption, the focus in vehicle construction shifts to lightweight constructions based on Mg or Al ...
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 ...
Organ-like three-dimensional cell aggregates developed in the laboratory represent versatile cellular models for drug ...
In industrial low-density polyethylene (LDPE) production, mixtures of organic peroxide initiators are used to start the ...
Normative computational models of human sensorimotor behavior based on optimal feedback control with signal-dependent ...
Reinforcement Learning is a powerful approach to achieve optimal behaviour. However, it typically requires a manual ...
Ammonia derived from atmospheric N2 and fossil H2 in the Haber-Bosch process represents the main source of nitrogen ...
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
In the context of global warming the necessity of efficient and low emission combustion applications arises. In addition ...
The goal of ab initio nuclear structure theory is the description of nuclei from first principles without uncontrolled ...
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...
DNA-PKcs is a gateway protein of the Non-Homologous End Joining DNA Repair Pathway. Which is the process of repairing ...
The MD method is suitable for studying the behavior of liquid molecular systems. According to past investigations in the ...
The fabrication of metallic glasses by laser powder melt fusion provides a new way for the synthesis of metallic glasses ...
Ion channels play a fundamental key role in all living organisms and are crucial for the signal transduction of neurons ...
In 2018, Gottschall et al. proposed a multi-stimulit concept for magnetocaloric cooling. [1] The energy consumption ...
This project aims to investigate the autogenous self-healing process of small cracks in concrete using the phase-field ...
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
Engine knock is initiated by auto-ignition in the unburned mixture ahead of the flame front, the so-called end-gas. Thus ...
