Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
Kategorie
Jahr
Software
Universität
Cluster
Projekte
Displaying 61 - 90 of 170
Parametric Study on Determination of Load-Bearing Capacity of Dry-stacked Masonry Wall under Cyclic Loading
In the research area of circular building design, design concepts for sustainable masonry are being implemented using ...
Engineering SciencesConstruction Engineering and Architecture-
Preliminary Study for Power Forecasting of Machines in Industrial Production Systems With Neural Networks
Germany has the ambitious goal of covering all electricity generation by renewable sources by 2045. The Kopernikus ...
Engineering SciencesMechanics and Constructive Mechanical Engineering 
Principles of On-Surface Synthesis
In the past centuries chemists have established a solid knowledge for the synthesis of molecules in solution. With the ...
Natural SciencesTheoretical Condensed Matter Physics
Quantification of Turbulent Coflow Effects on Liquid Fuel Atomization from a Pressure Swirl Atomizer
In response to the growing need for sustainable energy solutions and emission reduction, gas turbines offer a viable ...
Engineering SciencesProcess Engineering, Technical Chemistry
Rational Design of Narrow-Hysteresis Materials by Tailoring Magnetoelastic Interactions III
Functional materials for magnetic cooling devices at room temperature are in focus for the materials scientists during ...
Natural SciencesTheoretical Condensed Matter Physics
Reducing Pollutant Emissions in Sustainable Aero-Engine Combustors
Reducing pollutant emissions remains a key challenge in the development of nextgeneration aero-engines. In addition to ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Simulation of in-situ Alloying of High Entropy Alloys During Additive Manufacturing Using Molecular Dynamics
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
Engineering SciencesMaterials Science
Size Dependence of FeNC-Model Complexes’ Spectroscopic Parameters
While hydrogen is promising for energy storage or mobility applications, the platinum catalysts often needed to convert ...
Natural SciencesPhysical and Theoretical Chemistry
Spectroscopic Properties and ORR Reaction Paths for FeNC Catalyst Models
With street traffic being a major contributor to carbon dioxide emission and global warming, alternatives to the ...
Natural SciencesPhysical and Theoretical Chemistry
Structure Optimization, Dielectric and Magnetic Properties of Pure Silicon as well as Iron-Doped Silicon and Tin Clusters
The previous investigation of SnN clusters with N = 6−40 showed that below a clusters size of about 30 atoms, a prolate ...
Natural SciencesPhysical and Theoretical Chemistry-
Tracing CPU/GPU-Hybrid Applications With Extrae
Starting from the initial project idea outlined in the project proposal, the research evolved significantly, branching ...
Engineering SciencesComputer Science -
Transkribus Model Training
Recognition of large amounts of printed or handwritten texts with to a high degree of accuracy – i. e. less than 0.1% ...
-
Utilizing Mamba for Microorganism Protein Synthesis Prediction
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
Engineering SciencesComputer Science 
Wigner Sampling of Mössbauer-Parameters
Mössbauer spectroscopy is a powerful tool for investigating iron in molecular and especially amorphous systems. Combined ...
Natural SciencesPhysical and Theoretical Chemistry-
Advanced Modeling Strategies for Turbulent Hydrogen Flames
The German government’s National Hydrogen Strategy has identified hydrogen as a crucial technology in achieving the ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics -
Aeroacoustics Simulation Using Partially-Averaged-Navier-Stokes Around the Ahmed Body
Aeroacoustics is a critical research field that studies sound generated by turbulent flows interacting with solid ...
Heat Energy Technology, Thermal Machines, Fluid MechanicsEngineering Sciences -
Amortized Variational Inference by Policy Search
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
Engineering SciencesComputer Science 
An Agent-Based Model of Radiation-Induced Lung Fibrosis
Radiation-induced lung injuries such as pneumonitis and lung fibrosis (RILF) can lead to respiratory failure and ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
Cold Quantum Gases in two Dimensions with IM-SRG and FCI
Ultracold atomic gases allow for a high control over experimental parameters such as the particle number or the ...
Natural SciencesOptics, Quantum Optics and Physics of Atoms, Molecules and Plasmas
Combustion of Individual Iron Microparticles With Resolved Boundary Layers I
Metal fuels are promising green energy carriers due to their high volumetric energy density, recyclability, and ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Competence Development of Engineering Methodology for the Design of Centrifugal Compressors
A decisive property of centrifugal compressors for turbochargers is the map width, which defines the area of the ...
Engineering SciencesHeat Energy Technology, Thermal Machines, Fluid Mechanics
Compiler-Assisted Optimization and Modernization of MPI
In the realm of High-Performance Computing (HPC), the Message Passing Interface (MPI) has established itself as a ...
Engineering SciencesComputer Science
Computer-Aided Analysis of Time-Lapse Microscopy Data II
During development and adult homeostasis, cells in our bodies need to constantly integrate internal and external ...
Life SciencesBasic Research in Biology and Medicine
Deep Implicit Collision Probability Fields
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
Engineering SciencesComputer Science
Deep Reinforcement Learning for Robotics
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
Engineering SciencesComputer 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
Designing Materials With Photo-Induced Phase Transitions
The potential of chalcogenides in applications like optoelectronics, thermoelectrics, transparent contacts, and thin ...
Natural SciencesTheoretical Condensed Matter Physics
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
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
