
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 47
One approach to the realization of safer batteries relies on all solid-state batteries (ASSB) which use a non-flammable ...
Refractory metal silicide systems like Mo-Si-Ti are expected to be ideal substrates in composite materials for high ...
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 ...
In wireless communications, beamforming is utilized for the reception and transmission of directional wireless signals ...
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 ...
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
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 ...
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 the last project was to understand the CO2 activation over Au and Cu loaded ceria and bare indium oxide. In ...
The aim of this work is the development and validation of a numerical model of the coal gasification in a fluidized bed ...
Understanding forced ignition in turbulence is relevant to the development of next generation highefficiency, low ...
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 ...
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 ...