
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 181 - 210 of 368
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 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 ...
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
In industrial low-density polyethylene (LDPE) production, mixtures of organic peroxide initiators are used to start the ...
The electronic structure plays a key role in determining the physical properties of highly correlated electron systems ...
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 fabrication of metallic glasses by laser powder melt fusion provides a new way for the synthesis of metallic glasses ...
The MD method is suitable for studying the behavior of liquid molecular systems. According to past investigations in the ...
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 ...
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 ...
To model future energy systems and their markets, it is important to understand the underlying dynamics of their ...
One important aim of modern energy-conserving technologies is magnetic cooling at room temperature. This environmentally ...