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Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Displaying 1 - 30 of 50
Approximate Bayesian Decision Theory With Neural Networks
Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
Geistes- und Sozialwissenschaften
Atomic Scale Modeling of Coherent Phase Transitions in Energy Storage Materials
Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
IngenieurwissenschaftenMaterialwissenschaft
End-to-end Learning for Multi-Embodiement Locomotion
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
IngenieurwissenschaftenInformatik
Influence of Mixing Characteristics on Polymerization Reactors
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie
Machine Learning Application in Automotive Catalysts
The computational resources of the Lichtenberg HPC were used in this project to train physics informed machine learning ...
NaturwissenschaftenChemische Festkörper- und Oberflächenforschung
Multiscale Modelling of Cement-Based Materials III
The project seeks to create a comprehensive model linking nanoscale phenomena to larger-scale behaviors to better ...
IngenieurwissenschaftenBauwesen und Architektur-
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 ...
IngenieurwissenschaftenBauwesen und Architektur -
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 ...
IngenieurwissenschaftenMechanik und Konstruktiver Maschinenbau -
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 ...
IngenieurwissenschaftenInformatik 
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 ...
LebenswissenschaftenGrundlagen der Biologie und Medizin
Deep Reinforcement Learning for Robotics
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
IngenieurwissenschaftenInformatik
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 ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
Detecting Suitcase Damages With Artificial Intelligence – IT-Project Lufthansa
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
IngenieurwissenschaftenInformatik
High-Throughput Design of Chalcogenide Materials for Optoelectronic Devices
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
IngenieurwissenschaftenMaterialwissenschaft
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 ...
IngenieurwissenschaftenMechanik und Konstruktiver Maschinenbau
Multiscale Modelling of Cement-Based Materials II
The project aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...
IngenieurwissenschaftenBauwesen und Architektur
Reliability of Statically Indeterminate Concrete Beams With GFRP Reinforcement
Structural engineering, particularly concrete systems, has long focused on understanding the distribution of internal ...
IngenieurwissenschaftenBauwesen und Architektur-
Scientific Machine Learning for Chemical Kinetics
Detailed multi-scale modelling provides in-depth insights into the complex phenomena of catalytic systems that typically ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie 
A Machine-Learning Interatomic Potential for the Si-O System
Nowadays, atomistic simulations are becoming more and more important. Due to the increasing availability of ...
IngenieurwissenschaftenMaterialwissenschaft-
Computer-Aided Analysis of Time-Lapse Microscopy Data I
During development and adult homeostasis, cells in our bodies need to constantly integrate internal and external ...
Lebenswissenschaften -
Generation of Training Data for a Gaussian Process Based Surrogate Model
This project was a follow-up project for our initial project intended at setting up Lichtenberg Cluster for the use ...
Ingenieurwissenschaften -
Implementation and Validation of an Approach for Statistical Parameter Calibration
The prediction accuracy of models is affected using deterministic parameters. That is because the uncertainty of these ...
IngenieurwissenschaftenMechanik und Konstruktiver Maschinenbau 
Multiscale Modelling of Cement-Based Materials
Overall objective of this project is to develop an elementary physical/chemical bridging model for the chemical reaction ...
IngenieurwissenschaftenBauwesen und Architektur
Performance Analysis of the Ice-Sheet and Sea-Level System Model (ISSM)
Earth modeling is a wide field of different scientific domains, e.g., ice-modeling. All domains have in common, that ...
IngenieurwissenschaftenInformatik
Performance Enginnering of the Confined Unconfined Aquifer System Model (CUAS)
In the context of earth system modeling the simulation of ice-sheets is an important aspect. Ice-sheet modeling contains ...
IngenieurwissenschaftenInformatik
Reinforcement of High-Entropy Metallic Glasses: A Molecular Dynamics Study
Since their invention in the 1960s, metallic glasses (MGs) gained great attention due to their high strength and elastic ...
IngenieurwissenschaftenMaterialwissenschaft-
Sensitivity Analysis of a Complex Multibody System
This project was a follow-up project for our initial project intended at setting up Lichtenberg Cluster for the use ...
Ingenieurwissenschaften 
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 ...
IngenieurwissenschaftenMaterialwissenschaft
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 ...
IngenieurwissenschaftenMaterialwissenschaft-
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 ...
NaturwissenschaftenStatistische Physik, Weiche Materie, Biologische Physik, Nichtlineare Dynamik
