Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Displaying 1 - 13 of 13
Acoustic Simulation of Fluid and Rigid Objects Impacting in a Water Pool
Since the beginning of the past century people are interested in the mechanisms which produce the sound caused by a drop ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Aeroacoustics Simulation Using Partially-Averaged-Navier-Stokes Model
In recent years studying the field of aeroacoustics has been received special attention from researches for its ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Algorithm Unfolding in Multicell Downlink MIMO Precoding
In wireless communications, beamforming is utilized for the reception and transmission of directional wireless signals ...
Engineering SciencesElectrical Engineering and Information Technology
Bayesian Inference of Cyclic Transcription Dynamics
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
Deep Reinforcement Learning: Benchmarking, Algorithms and Applications
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
Engineering Sciences
Designing an Efficient Neural Architecture Search
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
Engineering SciencesComputer Science
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Normative computational models of human sensorimotor behavior based on optimal feedback control with signal-dependent ...
Life SciencesNeurosciences
Learning Physically Interactive Behaviours for Human-Robot Interaction
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
Engineering SciencesComputer Science
Measure-Valued Derivatives for Reinforcement Learning
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...
Engineering SciencesComputer Science
Noise Resilient Empirical Performance Modeling with Deep Neural Networks
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
Engineering SciencesComputer Science
Simulation of Aeroacoustic Effects Induced by Fluid-Structure Interaction
Aerodynamic sound contributes significantly to the noise emission of high-speed applications such as trains, aircraft ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Unsteady Modeling and Simulation of Oxy-Fuel Combustion Chambers
Among the major sources of energy supply, pulverized coal combustion (PCC) will remain one most dominant contributors in ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
When to Trust Your Model in Model-based Value Expansion?
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
Engineering SciencesComputer Science
