Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 211 - 240 of 439
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
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
Direct Numerical Simulation of Flame-Wall-Interactions of DME Flames
In the context of global warming, the necessity of efficient and low emission combustion applications arises. The ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
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
Elucidating the CO2 Activation in the Context of the Reverse Water Gas Shift Reaction
The aim of the last project was to understand the CO2 activation over Au and Cu loaded ceria and bare indium oxide. In ...
Natural SciencesChemical Solid State and Surface Research
FABIENE - Flexible Bereitstellung von Strom und Kraftstoffen aus Braunkohle basierend auf der Wirbelschichtvergasung
The aim of this work is the development and validation of a numerical model of the coal gasification in a fluidized bed ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Forced Ignition in Turbulent Mixtures of Sufficiently Large Lewis Numbers
Understanding forced ignition in turbulence is relevant to the development of next generation highefficiency, low ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
From RNA Sequence to Coarse-Grained Molecular Dynamics
The dynamics of large biomolecules such as proteins or RNAs provide an important insight into their function and ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
Fully Open-Shell Medium-Mass Nuclei and Electromagnetic Observables for Ab Initio Nuclear Structure II
The ab initio description of nuclear structure phenomena has progressed tremendously over the past years. In particular ...
Natural SciencesParticles, Nuclei and Fields
High-Throughput Design of New Perovskite Oxide Antiferroelectric Materials
Antiferroelectric (AFE) materials have recently been of a great interest, due to their unique applications in the energy ...
Natural SciencesTheoretical Condensed Matter Physics
High Throughput Optimization of Permanent Magnetic Materials
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
Engineering SciencesMaterials Science-
Image Analysis and Calibration of High Dimensional Deformable Cell Models in Complex Geometries Using Advanced Interaction Schemes
Organ-like three-dimensional cell aggregates developed in the laboratory represent versatile cellular models for drug ...
Life SciencesBasic Research in Biology and Medicine 
Influence of Mixing Processes on the Performance of High-Pressure Polymerization I
In industrial low-density polyethylene (LDPE) production, mixtures of organic peroxide initiators are used to start the ...
Engineering SciencesProcess Engineering, Technical Chemistry
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-
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 
Investigation of the Electronic Structure of Nitrogen Photoactivation Complexes
Ammonia derived from atmospheric N2 and fossil H2 in the Haber-Bosch process represents the main source of nitrogen ...
Natural SciencesPhysical and Theoretical Chemistry
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
LES-Based Investigation of Flame-Wall-Interactions
In the context of global warming the necessity of efficient and low emission combustion applications arises. In addition ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Matrix Elements of New Families of Chiral Interactions
The goal of ab initio nuclear structure theory is the description of nuclei from first principles without uncontrolled ...
Natural SciencesParticles, Nuclei and Fields
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 a Tribology System
The MD method is suitable for studying the behavior of liquid molecular systems. According to past investigations in the ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
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
Molecular Dynamics Study of the Sodium/Potassium Channels HCN
Ion channels play a fundamental key role in all living organisms and are crucial for the signal transduction of neurons ...
Life SciencesBasic Research in Biology and Medicine
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
Multiscale Modelling of Transport and Degradation Phenomena in Cement-based Materials
This project aims to investigate the autogenous self-healing process of small cracks in concrete using the phase-field ...
Engineering SciencesConstruction Engineering and Architecture-
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 
Numerical Investigation and Cause-And-Effect Chain Analysis of Cyclic Variations and their Effect on Knocking Combustion
Engine knock is initiated by auto-ignition in the unburned mixture ahead of the flame front, the so-called end-gas. Thus ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
