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 151 - 180 of 205
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 ...
White light generation (WLG) is one of the most puzzling and exciting topics in nonlinear optics. Strictly speaking, WLG ...
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
Active matter consisting of motile agents such as bacteria, algae, or synthetic microswimmers on the microscale and ...
Planning algorithms have shown impressive performance in many domains such as chess and Go. In particular, Monte Carlo ...
The structure of nuclei gives fundamental insight into strong interactions between nucleons, beyond-standard-model ...
Recent work has shown that deep neural networks are able to predict human similarity judgments with high accuracy (e.g ...
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 ...
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 ...
A recent ultrafast electron diffraction experiment led by our collaborator has showed an interesting response of a thin ...
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 ...
In a hydrogen fuel cell, that consists of an anode and a cathode, oxidation and reduction reactions occur simultaneously ...
Aeroacoustics studies the creation and spread of sound from unsteady flow with solid structures. Computational ...
Layered ternary compounds, known as MAX phases, represent a growing family of materials [1]. They are denoted by a ...
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 ...