
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Displaying 61 - 90 of 106
To understand and study complex materials at the atomic level, it is essential to be able to calculate forces and ...
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
The low-density polyethylene polymerization process takes place at high pressure and temperatures. Knowledge of the ...
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
The simulation of materials on the atomistic scale requires a description of interatomic interactions. Quantum ...
Along with technological advancements, the search for better-performing functional materials is also deepening. Having ...
This project aims to investigate various renewable fuels in 3D spray simulations (synthetic and biogenetic). For ...
Over the past decade, there has been a significant shift in the industrial sector towards sustainability, leading to ...
The project aims to develop a bridging model that connects the nanoscale to the upscaled levels for understanding the ...
Autonomous robots need to be able to identify and recognize objects in a scene. For this crucial task we need to ...
Droplet impingement and spreading are of particular relevance for various technical applications, including inkjet ...
Analyzing the correlation structure of quantum systems is central to understanding their behaviour. The notion of sector ...
Stainless steel doctor blading is a preferred method for predosing inks in industrial mass printing, offering ...
Spray cooling is a very effective method for cooling of electronic devices. The study of the impact of single and ...
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
Planning algorithms have shown impressive performance in many domains such as chess and Go. In particular, Monte Carlo ...
Structural engineering, particularly concrete systems, has long focused on understanding the distribution of internal ...
Nucleate boiling is a very efficient heat transfer mechanism. It is used in a wide variety of applications on Earth ...
In recent years, reinforcement learning and its multi-agent analogue have achieved great success in solving various ...
Detailed multi-scale modelling provides in-depth insights into the complex phenomena of catalytic systems that typically ...
Massive amounts of newly generated gene expression data have been used to further enhance personalised health ...
In this project, our primary focus is to validate and benchmark the performance of a measurement-based variational ...
X-ray Absorption Spectroscopy (XAS) is a pivotal technique in material research, requiring numerous sampling points for ...
The flow conditions at the combustor turbine interface (CTI) have a significant role in the development process of ...
The advancing climate crisis requires the rapid reduction of CO2 emissions. One of the largest emitters is the energy ...
Aeroacoustics studies the creation and spread of sound from unsteady flow with solid structures. Computational ...
Despite recent advances in numerical methods for multiphase flows, the complete simulation of a spray atomization is ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
To increase the thermodynamic efficiency of aero engines and gas turbines the turbine entry temperature was increased ...
Recent developments in the field of complex systems have shown that real-world multiagent systems are often not ...