
Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Hessian scientists of various disciplines are using High Performance Computers for their research.
Displaying 91 - 120 of 382
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 ...
Despite the motion of drops seeming a simple phenomenon, the behavior of a droplet on an inclined solid surface is far ...
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 ...
For transition metal doped clusters, the transition metal and the host element play a fundamental role in the physical ...
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 ...
The human brain is a large structure (billions of neurons and orders of magnitude more synapses) that is not understood ...
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
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 ...
Coarse-grained molecular dynamics (MD) simulation provides a faster alternative to all-atom MD simulation, essential for ...
The project focuses on an iron catalysed method to prepare unprecedented chemical synthons, developed in the group of Dr ...
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 ...
Nowadays, atomistic simulations are becoming more and more important. Due to the increasing availability of ...
Robotic manipulation stands as a largely unsolved problem despite significant advances in robotics and machine learning ...
Autonomous robotic assembly requires a well-orchestrated sequence of high-level actions and smooth manipulation ...
Aeroacoustics studies the creation and spread of sound from unsteady flow with solid structures. Computational ...