
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 136
White light generation (WLG) is one of the most puzzling and exciting topics in nonlinear optics. Strictly speaking, WLG ...
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 ...
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 ...
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 ...
The coil-globule transition of aqueous polymers is of profound significance in understanding the structure and function ...
For the understanding of materials it is often necessary to analyse them on the atomic scale. Molecular dynamics is a ...
The field of spintronics recently gained much interest because it promises faster, smaller and less energy consuming ...
Femtosecond laser pulses excite the electrons of matter to a high temperature whereas the ions remain mainly unaffected ...
Ammonia borane (NH3BH3) is an easy to handle solid capable of releasing up to 3 equivalents of dihydrogen and therefore ...
In numerous new fields of technology (including lightweight construction, medical technology) it is desirable to ...
Holding unique characteristics, such as a high strength and large elastic limit, metallic glasses are advanced materials ...
Magnetic interactions in transition metal complexes arise from coupling of unpaired electrons, usually localized ...
Reinforcement Learning (RL) has proven to be an empirically very successful approach to solving sequential decision ...
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
The underlying research project deals with the flow accelerated corrosion and erosion in cooling systems of combustion ...