
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 37
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 ...
The message passing interface (MPI) is the de-facto standard for distributed high performance computing. However, it ...
The objective of this project is to compute the turbulence chemistry interactions for turbulent reacting flow. Thus, the ...
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 ...
The aim of this work is the development and validation of a numerical model of the coal gasification in a fluidized bed ...
Ideal one-dimensional (1D) electronic systems are fascinating, as they show quantisation of conductance, charge-density ...
Understanding forced ignition in turbulence is relevant to the development of next generation highefficiency, low ...
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 ...
The electronic structure plays a key role in determining the physical properties of highly correlated electron systems ...
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 ...
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 ...
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 ...
Ion channels play a fundamental key role in all living organisms and are crucial for the signal transduction of neurons ...
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 ...
Spray cooling is a very effective method for cooling of electronic devices. The study of the impact of single and ...
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 ...
One important aim of modern energy-conserving technologies is magnetic cooling at room temperature. This environmentally ...