Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 211 - 240 of 349
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
A Gaussian Approximation Potential for Silica
For the understanding of materials it is often necessary to analyse them on the atomic scale. Molecular dynamics is a ...
Engineering SciencesMaterials Science
AddKraft-Thermo
In numerous new fields of technology (including lightweight construction, medical technology) it is desirable to ...
Engineering SciencesProduction Technology
An Atomic Scale Perspective of Deformation Mechanims of Metallic Glasses
Holding unique characteristics, such as a high strength and large elastic limit, metallic glasses are advanced materials ...
Engineering SciencesMaterials Science
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Reinforcement Learning (RL) has proven to be an empirically very successful approach to solving sequential decision ...
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
BMWi AiF Project 20224 ’Flow Erosion’
The underlying research project deals with the flow accelerated corrosion and erosion in cooling systems of combustion ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Comparison of Drag Models for Fluidized Beds and Validation by Cold Flow Experiments
Nowadays, the design and optimization of fluidized beds are primarily based on experimental investigations which are ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Computationally-Intensive Subproblems in FPGA-Based Accelerator Design
Field-Programmable Gate Arrays (FPGA) contain programmable logic elements that can accommodate application-specific ...
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
Cooperative kinetics of defects and domain structures in ferroelectrics
Thin films of lead zirconate-titanate (PZT) belong to the most widely used ferroelectric materials. They possess large ...
Engineering SciencesMaterials Science
Defect Properties of Lead-Free Antiferroelectrics for Energy Storage Applications
Dielectric capacitors are considered to be promising candidates for energy storage applications in high power ...
Engineering SciencesMaterials Science
Design-Space Exploration for FPGA-Accelerators in Cloud Environments
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
Engineering SciencesComputer Science
Development of a Validated and Efficient Calculation Method to Expand the Operating Range of Centrifugal Pumps for Pumping Gas Loaded Liquids
Many technical applications in chemistry engineering are multiphase flows as they contain entrained air or effects such ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Efficient Gas Engines for Maritime Applications of the Next Generation
Not only in automotive and aviation industries, but also in shipping the engine manufacturer are forced by new ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics-
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 
Flow Erosion
The underlying research project deals with the flow accelerated corrosion and erosion in cooling systems of combustion ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics-
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 
Intermediate Bands in Indium Thiospinels
In Cu(In,Ga)(S,Se)2 (CIGS) thin-film solar cells, Ga gradient forms readily during the CIGS growth resulting to a high ...
Engineering SciencesMaterials Science
Interpretable Reinforcement Learning
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
Engineering SciencesComputer Science
Lufo 5 PRESTIGE
The high pressure turbine design is strongly affected by the flow in the upstream combustor. Very high temperatures ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Massive Parallelization of Dynamical Multibody Systems via Co-Simulation
Co-simulation methods may be used advantageously for analysing complex problems, for example the simulation of systems ...
Engineering SciencesMechanics and Constructive Mechanical Engineering-
Model Learning With Recurrent Kalman Networks
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
Engineering SciencesComputer Science 
Modelling of All Solid-State Lithium Ion Thin Film Battery
The solid-solid interface is a critical obstacle to limit the performance of all-solid-state lithium-ion thin film ...
Engineering SciencesMaterials Science
Modelling of Na-Ion Conductors
NASICON, short for Na+ Superionic Conductor, is a group of materials with the composition Na1+xZr2SixP3-xO12 with 0 < x ...
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-Label Rule Learning
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
Engineering SciencesComputer Science 
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
Network Traffic Prediction with Neural Networks
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...
Engineering SciencesComputer Science
Numerical Investigation of Drop Impact, Coalescence and Evaporation on Superheated Surfaces I
Spray cooling is a promising technology to remove heat from a hot target. To contribute to a better understanding of the ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
