Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Projekte
Kategorie
Jahr
Software
Universität
Cluster
Projekte
Displaying 1 - 30 of 40
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
Parallel Finite Element Methods for Complex Flows of Complex Fluids
The objective of this ongoing project is the continuous development and advancement of effective simulation methods for ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
Amortized Variational Inference by Policy Search
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
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
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum II
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
IngenieurwissenschaftenInformatik
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-
Gradient-Based Variational Inference by Policy Search
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
IngenieurwissenschaftenInformatik -
High-Throughput Discovery of Mab and Mbene Superconductors
We survey the landscape of MAB and Mbene superconductors out of our previous high-throughput predictions using first ...
NaturwissenschaftenPhysik der kondensierten Materie 
Imitation Learning for Lap Time Simulation
In order to facilitate rapid prototyping and testing in the advanced motorsport industry, we consider the problem of ...
IngenieurwissenschaftenInformatik
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
Predicting Human Similarity Judgments Using Normalizing Flows
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...
Geistes- und Sozialwissenschaften-
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 
CCDCGAN: Inverse design of crystal structures
Autonomous materials discovery with desired properties is one of the ultimate goals for modern materials science, and ...
NaturwissenschaftenPhysik der kondensierten Materie
Combining Regenerative and Degenerative Methods in Growing Neural Networks
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
IngenieurwissenschaftenInformatik-
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 
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
IngenieurwissenschaftenInformatik-
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-
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 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
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 ...
NaturwissenschaftenPhysik der kondensierten Materie
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 ...
IngenieurwissenschaftenMaterialwissenschaft-
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 ...
IngenieurwissenschaftenInformatik 
Probabilistic Power Plant Dispatch Prediction
To model future energy systems and their markets, it is important to understand the underlying dynamics of their ...
IngenieurwissenschaftenElektrotechnik und Informationstechnik
Testing and Development of Methods for the Calculation of Phase Diagrams of Interatomic Potentials
Understanding the behavior of different materials not only furthers general knowledge, but can also often be used for ...
NaturwissenschaftenStatistische Physik, Weiche Materie, Biologische Physik, Nichtlineare Dynamik-
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 ...
IngenieurwissenschaftenElektrotechnik und Informationstechnik 
Lifetime Portfolio Choice and Optimal Retirement Decisions
Millions of European and American workers are increasingly asked to accumulate pension assets. In order to augment ...
Geistes- und SozialwissenschaftenWirtschaftswissenschaften
