
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception ...
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
The industrial production of high-density polyethylene (HDPE) through the catalytic polymerization of ethene is an ...
The computational resources of the Lichtenberg HPC were used in this project to train physics informed machine learning ...
The project seeks to create a comprehensive model linking nanoscale phenomena to larger-scale behaviors to better ...
In the research area of circular building design, design concepts for sustainable masonry are being implemented using ...
Germany has the ambitious goal of covering all electricity generation by renewable sources by 2045. The Kopernikus ...
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
During development and adult homeostasis, cells in our bodies need to constantly integrate internal and external ...
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
A jet engine’s high-pressure turbine, which is located downstream of the combustor, is subject to an extremely high ...
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Optoelectronic materials have attracted significant attention owing to the global energy shortage and environmental ...
Vibroacoustic vehicle behavior specifies among others the quality of vehicles and contributes to customer satisfaction ...
The project aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...
Structural engineering, particularly concrete systems, has long focused on understanding the distribution of internal ...
Detailed multi-scale modelling provides in-depth insights into the complex phenomena of catalytic systems that typically ...
During development and adult homeostasis, cells in our bodies need to constantly integrate internal and external ...
This project was a follow-up project for our initial project intended at setting up Lichtenberg Cluster for the use ...
The prediction accuracy of models is affected using deterministic parameters. That is because the uncertainty of these ...
A class of cluster materials with an adamantane-like core structure (AdR4 or [(RE)4T6]; R=organic structure; E=Si, Ge ...
Overall objective of this project is to develop an elementary physical/chemical bridging model for the chemical reaction ...
Verdazyl radicals are discussed as a possible candidate for application in organic redox flow batteries. These species ...
Earth modeling is a wide field of different scientific domains, e.g., ice-modeling. All domains have in common, that ...
In the context of earth system modeling the simulation of ice-sheets is an important aspect. Ice-sheet modeling contains ...
This project was a follow-up project for our initial project intended at setting up Lichtenberg Cluster for the use ...
The dynamics of large biomolecules such as proteins or RNAs provide an important insight into their function and ...
Organ-like three-dimensional cell aggregates developed in the laboratory represent versatile cellular models for drug ...
In 2018, Gottschall et al. proposed a multi-stimulit concept for magnetocaloric cooling. [1] The energy consumption ...
To model future energy systems and their markets, it is important to understand the underlying dynamics of their ...