
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Displaying 61 - 90 of 96
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 ...
In the context of global warming, the necessity of efficient and low emission combustion applications arises. The ...
Normative computational models of human sensorimotor behavior based on optimal feedback control with signal-dependent ...
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 ...
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 ...
The formation of pollutants in direct injection engines is a field of research with high practical impact. Against this ...
3D computational fluid dynamics (CFD) simulations are nowadays an established method in science and a tool in industrial ...
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
The underlying research project deals with the flow accelerated corrosion and erosion in cooling systems of combustion ...
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
Recent numerical stabilization approaches provide new opportunities for viscoelastic flow simulations. The numerical ...
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
The underlying research project deals with the flow accelerated corrosion and erosion in cooling systems of combustion ...
Spray cooling is a promising technology to remove heat from a hot target. To contribute to a better understanding of the ...
The exhaust gas system is a very important part of internal combustion engines, since its structure and thermodynamic ...
The formation of pollutants in direct injection engines is a field of research with high practical importance. In front ...
As high-lift configurations, multi-element airfoils have shown satisfactory aerodynamic performance at high Reynolds ...
Nowadays the fuels combustion still sustain most of the energy needs and its productions. Different studies have been ...
Accurate and efficient tracking of sharp interfaces that separate fluids that do not mix or fluids and solids is a ...
The present trend in energy consumption shows ever increasing energy demand to servemultitude of reasons such as ...
Droplet impingement and spreading are of particular relevance for various technical applications, including inkjet ...
Droplet impingement and spreading are of particular relevance for various technical applications, including inkjet ...