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Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Displaying 1 - 30 of 129
Numerical Simulation of Nucleate Boiling in Microgravity
Nucleate boiling is a very efficient heat transfer mechanism. It is used in a wide variety of applications on Earth ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
Practical Empirical Performance Modeling for CFD Applications using Extra-P
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
IngenieurwissenschaftenInformatik
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
Computational Study of Transient Indoor Airflow with an Eddy Resolving Turbulence Model
This project’s main objective is the numerical analysis of mechanically ventilated rooms in different scenarios under ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
Direct Numerical Simulations of Mesopore Imbibition Using a Phase-Field Approach
Mesoporous materials, which have pore sizes in the range of 10-200 nanometers, have attracted significant attention due ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
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
exaFOAM Performance Analysis and Modeling
The exaFOAM project [1] aims at overcoming the current limitations of Computational Fluid Dynamics (CFD) technology ...
IngenieurwissenschaftenInformatik-
Investigation of the Phase Separation Process of Polymer-Monomer Mixtures II
The polymerization of low-density polyethylene takes place at high temperatures and pressures up to 3000 bar. Under ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie -
Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis
Up-to-date contact-rich manipulation tasks remain one of the grand challenges of robotics. Equipping robots with a sense ...
IngenieurwissenschaftenInformatik 
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
Multi-Model Multi-Phase Cause-Effect Chain Simulation in Direct Injection Engines
Internal combustion engines are vital to the modern transportation sector, and ongoing research is essential to optimize ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
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
Parameter-Efficient Tuning of Pretrained Visual-Language Models in Multitask Robot Learning
General-purpose intelligent robots are expected to simultaneously handle multiple tasks while interpreting various ...
IngenieurwissenschaftenInformatik
SpyFi: Deep Learning for CSI-based Keylogging Side Channel Attacks
During keyboard typing, hand and finger movements induce alterations in Wi-Fi signal propagation, reflected in Channel ...
IngenieurwissenschaftenInformatik
Understanding the Detrimental Nature of Dislocations in Layered Cathode Active Materials II
Layered transition metal oxides, derived from the model system LiCoO2, are used as cathode materials in Li-ion batteries ...
IngenieurwissenschaftenMaterialwissenschaft
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 ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
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
Deep Implicit Collision Probability Fields
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
IngenieurwissenschaftenInformatik
Deep Reinforcement Learning for Robotics
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
IngenieurwissenschaftenInformatik
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 ...
IngenieurwissenschaftenMaterialwissenschaft
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 ...
Ingenieurwissenschaften-
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 ...
IngenieurwissenschaftenInformatik 
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 ...
IngenieurwissenschaftenInformatik
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 ...
IngenieurwissenschaftenWärmeenergietechnik, Thermische Maschinen, Strömungsmechanik
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 ...
IngenieurwissenschaftenMaterialwissenschaft
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 ...
IngenieurwissenschaftenInformatik-
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 ...
IngenieurwissenschaftenVerfahrenstechnik, Technische Chemie 
Learning Interpretable Representations for Visuotactile Sensors
Visuotactile sensors are gaining momentum in robotics because they provide high-resolution contact measurements at a ...
Ingenieurwissenschaften
Metric Self-Paced Reinforcement Learning
Reinforcement Learning (RL) is a promising tool for solving complicated control and decision-making tasks in a data ...
IngenieurwissenschaftenInformatik
