
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 121 - 150 of 496
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 ...
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 ...
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 ...
Understanding the pathophysiology of lung fibrosis is of paramount importance to elaborate targeted and effective ...
Despite recent advances in numerical methods for multiphase flows, the complete simulation of a spray atomization is ...
Internal Combustion engines still play a significant role in today’s mobility and transport sector. They will still be ...
Autonomous materials discovery with desired properties is one of the ultimate goals for modern materials science, and ...
Soot is an unwanted particulate pollutant with detrimental impact on the human health and climate change. Its emission ...
Project CLARA aims to develop Chemical Looping Gasification (CLG) technology from lab scale to industrial scale. CLG can ...
Neural networks are usually trained with a static architecture. However, the fields of growing and pruning, or ...
Fracture is an everyday phenomena which describes the partial or full separation of a body. Fracture is driven by ...