
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 211 - 240 of 330
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
Thin films of lead zirconate-titanate (PZT) belong to the most widely used ferroelectric materials. They possess large ...
Dielectric capacitors are considered to be promising candidates for energy storage applications in high power ...
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
Many technical applications in chemistry engineering are multiphase flows as they contain entrained air or effects such ...
Not only in automotive and aviation industries, but also in shipping the engine manufacturer are forced by new ...
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 ...
Lighting, both natural and artificial, has become a part of our daily lives that have been taken for granted in modern ...
In Cu(In,Ga)(S,Se)2 (CIGS) thin-film solar cells, Ga gradient forms readily during the CIGS growth resulting to a high ...
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
The high pressure turbine design is strongly affected by the flow in the upstream combustor. Very high temperatures ...
Co-simulation methods may be used advantageously for analysing complex problems, for example the simulation of systems ...
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
The solid-solid interface is a critical obstacle to limit the performance of all-solid-state lithium-ion thin film ...
NASICON, short for Na+ Superionic Conductor, is a group of materials with the composition Na1+xZr2SixP3-xO12 with 0 < x ...
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
In need for alternatives to conventional cooling devices, the magnetocaloric effect (MCE) is one of the most promising ...
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 electromechanical coupling properties of ferroelectric materials are widely studied and used to design macro and ...
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 ...
The current limits of metallic glasses are tied to their brittle behavior at room temperature [1]. To overcome brittle ...
As high-lift configurations, multi-element airfoils have shown satisfactory aerodynamic performance at high Reynolds ...