
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 496
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 ...
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
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 ...
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 ...
The dynamics of large biomolecules such as proteins or RNAs provide an important insight into their function and ...
The ab initio description of nuclear structure phenomena has progressed tremendously over the past years. In particular ...
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 ...
Organ-like three-dimensional cell aggregates developed in the laboratory represent versatile cellular models for drug ...
In industrial low-density polyethylene (LDPE) production, mixtures of organic peroxide initiators are used to start the ...
Normative computational models of human sensorimotor behavior based on optimal feedback control with signal-dependent ...
Reinforcement Learning is a powerful approach to achieve optimal behaviour. However, it typically requires a manual ...
Ammonia derived from atmospheric N2 and fossil H2 in the Haber-Bosch process represents the main source of nitrogen ...
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 ...
The goal of ab initio nuclear structure theory is the description of nuclei from first principles without uncontrolled ...