
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Displaying 121 - 150 of 211
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 ...
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 ...
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 ...
The underlying research project deals with the flow accelerated corrosion and erosion in cooling systems of combustion ...
Nowadays, the design and optimization of fluidized beds are primarily based on experimental investigations which are ...
Field-Programmable Gate Arrays (FPGA) contain programmable logic elements that can accommodate application-specific ...
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
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 ...
The high pressure turbine design is strongly affected by the flow in the upstream combustor. Very high temperatures ...
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...
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 ...
Soot is an undesired particulate pollutant generated from an incomplete combustion of hydrocarbons. Due to its ...
In order to obtain high efficiencies in modern jet engines, turbine inlet temperatures substantially exceed thermal ...
In June 2017, the European Space Agency started systematic Level 2A processing of Sentinel- 2 acquisitions over Europe ...
Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...
The formation of pollutants in direct injection engines is a field of research with high practical importance. In front ...
Stochastic-search algorithms are problem independent algorithms well-suited for black-box optimization of an objective ...
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 ...
Future wireless communication systems are envisioned to meet stringent latency requirements to support control ...
Traditionally robots have been used in factories in predefined structured environments. Recently, robots are employed ...
The accurate prediction of combustion processes requires to compute the flow, the concentration, and the chemical ...