Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 61 - 90 of 365
Deformation Phenomena in Metallic Glass/High Entropy Nanolaminates
The application of metallic glasses (MGs) is limited by their brittle behavior at room temperature [1]. In order to ...
Engineering SciencesMaterials Science
Deriving of Design Guidelines for Cold Flow Combustors Based on Flow Phenomena in Combustors Under Real Operating Conditions
A jet engine’s high-pressure turbine, which is located downstream of the combustor, is subject to an extremely high ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Detecting Suitcase Damages With Artificial Intelligence – IT-Project Lufthansa
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Engineering SciencesComputer Science
Development of Methods and Concepts for the Processing of Geodata for Detailed 3D City Models
Three-dimensional virtual city models play an increasingly important role in various fields, including digital city ...
Engineering SciencesComputer Science
Direct Numerical Simulation of Thermo-Hydro-Mechanical Processes at Soultz-sous-Forêts
Enhanced Geothermal Systems (EGS) exploit the Earth's geothermal energy resources, especially in areas with low ...
Engineering Sciences
Dislocations for Defect-Based Quantum Computing
A quantum computer is a device that exploits quantum behavior to solve a computational problem that cannot be tackled ...
Natural SciencesTheoretical Condensed Matter PhysicsEngineering SciencesMaterials Science
Flexible HP-Turbines
The fluid temperatures in the high-pressure turbine of a commercial jet engine or industrial gas turbine by far exceed ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Fully Open-Shell Medium-Mass Nuclei and Electromagnetic Observables for Ab Initio Nuclear Structure IV
The ab initio description of medium-mass nuclei is one of the most dynamic frontiers in nuclear structure theory. One ...
Natural SciencesParticles, Nuclei and Fields
Generation of Training Data for Hardware-Friendly Hash-Width Estimation
Hash functions play a vital role in modern computing. Their applications range from database queries, over storage of ...
Engineering SciencesComputer Science
Gradient-Based Variational Inference by Policy Search
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
Engineering SciencesComputer Science
High Fidelity Numerical Simulations of Atomization Process for Two-Fluid Nozzles
Spray drying is one of the most used manufacturing techniques by the pharmaceutical industry. It enhances the ...
Engineering Sciences-
High-Resolution CFD Modeling of a Large-Scale Short-Term Thermal Energy Storage Unit
With the increasing use of renewable energy comes an increasing volatility in energy supply due to external factors ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics 
High-Throughput Design Co-based Heusler Alloys as Multi-Functional Magnetic Materials via Substitutional Doping
Heusler alloys are a remarkable class of intermetallic materials with a wide spectrum of intriguing physical properties ...
Engineering SciencesMaterials Science
High-Throughput Design of Chalcogenide Materials for Optoelectronic Devices
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
Engineering SciencesMaterials Science
Imitation Learning for Lap Time Simulation
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
Engineering SciencesComputer Science-
Impact of Multipath-Effects on Acoustic Keylogging Systems
Acoustic keylogging describes a category of side-channel attacks that recover typed keystrokes from audio-streams of ...
Engineering SciencesComputer Science 
Improved Nuclear Energy-Density Functionals from Local Chiral-Effective-Field-Theory Interactions
Nuclear energy density functionals successfully reproduce properties of nuclei across almost the entire nuclear chart ...
Natural SciencesParticles, Nuclei and Fields
Improving the Model-Based Prediction of Vibroacoustic Vehicle Properties by Mastering Uncertainty
Vibroacoustic vehicle behavior specifies among others the quality of vehicles and contributes to customer satisfaction ...
Engineering SciencesMechanics and Constructive Mechanical Engineering
Improving the Understanding of Neuromuscular Gait Control using Deep Reinforcement Learning
Understanding the underlying reward mechanisms of human locomotion and transferring this knowledge to humanoid robots is ...
Engineering SciencesComputer Science
Influence of Wheel Wake on Vehicle Aerodynamics: A Numerical Study using Eddy-Resolving Turbulence Models
Motivated by the cost-cutting in the process of vehicle certification, the industry sees a growing potential in the ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Interatomic Potentials for Li-Si-O and Si-O-C
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...
Engineering SciencesMaterials Science
Investigating the Machine Learning-based Cryptanalysis of Lightweight Block Ciphers
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
Engineering SciencesComputer Science-
Investigation of the Phase Separation Process of Polymer-Monomer Mixtures
The low-density polyethylene polymerization process takes place at high pressure and temperatures. Knowledge of the ...
Engineering SciencesProcess Engineering, Technical Chemistry 
Large-Scale Configuration Interaction for Ab Initio Nuclear Structure II
The prime goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on ...
Natural SciencesParticles, Nuclei and Fields
Learning Interpretable Representations for Visuotactile Sensors
Visuotactile sensors are gaining momentum in robotics because they provide high-resolution contact measurements at a ...
Engineering Sciences
Learning to Plan
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
Engineering SciencesComputer Science
Machine-Learning Models and Potentials for Various Systems
The simulation of materials on the atomistic scale requires a description of interatomic interactions. Quantum ...
Engineering SciencesMaterials Science
Metric Self-Paced Reinforcement Learning
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
Engineering SciencesComputer Science
Micromagnetic Simulation on SmCo5-Cu Nanocomposites to Investigate Influence of Amorphous Phase
Along with technological advancements, the search for better-performing functional materials is also deepening. Having ...
Engineering SciencesMaterials Science
Mixture Formation and Combustion of Alcohols and Other Biogenic Fuels in Mixture-Controlled Combustion Processes
This project aims to investigate various renewable fuels in 3D spray simulations (synthetic and biogenetic). For ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
