Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 31 - 60 of 60
Generation of Training Data for a Gaussian Process Based Surrogate Model
This project was a follow-up project for our initial project intended at setting up Lichtenberg Cluster for the use ...
Engineering Sciences-
Implementation and Validation of an Approach for Statistical Parameter Calibration
The prediction accuracy of models is affected using deterministic parameters. That is because the uncertainty of these ...
Engineering SciencesMechanics and Constructive Mechanical Engineering -
Learning for Decentralized, Long-Horizon Manipulation
Achieving long-horizon dexterous manipulation remains a challenging problem in robotics. There exists a long history of ...
Engineering SciencesSystems Engineering 
Multiscale Modelling of Cement-Based Materials
Overall objective of this project is to develop an elementary physical/chemical bridging model for the chemical reaction ...
Engineering SciencesConstruction Engineering and Architecture-
Sensitivity Analysis of a Complex Multibody System
This project was a follow-up project for our initial project intended at setting up Lichtenberg Cluster for the use ...
Engineering Sciences -
Visuomotor Control of Pouring Liquids
Natural visuomotor control tasks such as pouring liquids into cups are trivial for humans but are challenging to model ...
Life SciencesNeurosciences 
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
Multi-Scale Modeling of Additive Manufactured Magnetic Materials
In 2018, Gottschall et al. proposed a multi-stimulit concept for magnetocaloric cooling. [1] The energy consumption ...
Engineering SciencesMaterials Science
Probabilistic Power Plant Dispatch Prediction
To model future energy systems and their markets, it is important to understand the underlying dynamics of their ...
Engineering SciencesElectrical Engineering and Information Technology
Testing and Development of Methods for the Calculation of Phase Diagrams of Interatomic Potentials
Understanding the behavior of different materials not only furthers general knowledge, but can also often be used for ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
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
Balloon Estimators for Improving and Scaling the Nonparametric Off-Policy Policy Gradient
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
Engineering SciencesComputer Science-
Constraint Space Projection Reinforcement Learning
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
Engineering SciencesComputer Science -
Evaluating and Improving Recurrent Kalman Networks
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
Engineering SciencesComputer Science -
Intelligent Optimization Process Through Reinforcement Learning
Lighting, both natural and artificial, has become a part of our daily lives that have been taken for granted in modern ...
Engineering SciencesElectrical Engineering and Information Technology 
Interpretable Reinforcement Learning
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
Engineering SciencesComputer Science
Lifetime Portfolio Choice and Optimal Retirement Decisions
Millions of European and American workers are increasingly asked to accumulate pension assets. In order to augment ...
Humanities and Social SciencesEconomics
Multi-Scale Modeling of Additive Manufactured Magnetic Materials
In need for alternatives to conventional cooling devices, the magnetocaloric effect (MCE) is one of the most promising ...
Engineering SciencesMaterials Science
Phase Field Simulation of Ferroelectrics and Antiferroelectrics
The electromechanical coupling properties of ferroelectric materials are widely studied and used to design macro and ...
Engineering SciencesMaterials Science
Decoding Concurrent IEEE 802.11 Transmissions with Imprecise Synchronization
Future wireless communication systems are envisioned to meet stringent latency requirements to support control ...
Engineering SciencesElectrical Engineering and Information TechnologyComputer Science
Determination of the Particle Loading of Drops in a Spray
Colloid suspension droplets are widely encountered in industrial processes, for instance fuels with dispersed, metallic ...
Natural SciencesOptics, Quantum Optics and Physics of Atoms, Molecules and Plasmas-
Evaluation of the Thermo-Mechanical Behavior of Ventilated Truck Brake Discs
Brake discs are put to high thermomechanical stresses during operation. These loads might induce the so called heat ...
Engineering SciencesMechanics and Constructive Mechanical Engineering -
Optimization of Multi-Channel LED Spectra
Multichannel LED systems are a powerful tool to generate custom spectra, adaptable to the psychological and ...
Engineering SciencesElectrical Engineering and Information Technology -
Efficient representations of deep neural networks
Deep neural networks (DNNs) have gained extreme popularity in recent years, advancing state-of-the- art results in ...
Engineering SciencesComputer Science
