Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 22 of 22
Ab-initio Modeling of Battery Materials
One approach to the realization of safer batteries relies on all solid-state batteries (ASSB) which use a non-flammable ...
Engineering SciencesMaterials Science
Ab-Initio Thermodynamics of Refractory Mo-Si-Ti Phases at High Temperatures
Refractory metal silicide systems like Mo-Si-Ti are expected to be ideal substrates in composite materials for high ...
Engineering SciencesMaterials Science
Automatic Code Parallelization
The Software-Factory 4.0 (SF4.0) is a 4-year LOEWE1 project funded by the German State of Hesse and involves several ...
Engineering SciencesComputer Science
Calculating Temperature Dependent Properties of 2D Magnets
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
Engineering SciencesMaterials Science
Correctness Checking of MPI Derived Datatypes Using TypeART
The message passing interface (MPI) is the de-facto standard for distributed high performance computing. However, it ...
Engineering SciencesComputer Science
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
Determination of Effective Electric Conductivity of UFG/PEI-Composites Considering Quantum Mechanical Tunnelling Effects
To reduce fuel consumption, the focus in vehicle construction shifts to lightweight constructions based on Mg or Al ...
Engineering SciencesMaterials Science
Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions
Trajectory optimization and model predictive control are essential techniques underpinning advanced robotic applications ...
Engineering SciencesComputer Science
Effect of Infinite Time-Horizons on Genetic Algorithms
Genetic Algorithms (GAs) are a popular heuristic optimization method inspired by biological evolution. We implemented a ...
Engineering SciencesComputer Science
High Throughput Optimization of Permanent Magnetic Materials
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
Engineering SciencesMaterials Science-
Inverse Reinforcement Learning by Matching Feature Distributions
Reinforcement Learning is a powerful approach to achieve optimal behaviour. However, it typically requires a manual ...
Engineering SciencesComputer Science 
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
Modeling of Large Proteins in DNA Repair
DNA-PKcs is a gateway protein of the Non-Homologous End Joining DNA Repair Pathway. Which is the process of repairing ...
Natural SciencesEngineering SciencesComputer Science
Molecular Dynamics Simulation of Laser Powder Bed Fusion of Metallic Glasses
The fabrication of metallic glasses by laser powder melt fusion provides a new way for the synthesis of metallic glasses ...
Engineering SciencesMaterials 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-
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 
Rational Design of Narrow-Hysteresis Materials by Tailoring Magnetoelastic Interactions
One important aim of modern energy-conserving technologies is magnetic cooling at room temperature. This environmentally ...
Natural SciencesTheoretical Condensed Matter PhysicsEngineering SciencesMaterials Science
Reinforcement of Cr-Mn-Fe-Co-Ni High Entropy Bulk Metallic Glasses: A Molecular Dynamics Study
We investigate the CrMnFeCoNi (Cantor alloy)[1] high-entropy bulk metallic glass (HE-BMG). HE-BMGs are a new amorphous ...
Engineering SciencesMaterials Science
Revealing Temperature-Gradient-Driven Effects in Unconventional Sintering by Non-Isothermal Phase-Field Modeling
Employment of treatments other than heat or pressure control distinguishes the unconventional sintering from the ...
Engineering SciencesMaterials Science
Scalability of OpenMP
This project is concerned with promoting a more efficient usage of the HPC Systems. The two major technologies used to ...
Engineering SciencesComputer Science
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
