
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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We made several numerical calculations regarding the model of Spatial Random Permutations (SRP). This is a model in ...
Semiconductors are the fundament of modern technology and still in the focus of current research. With decreasing size ...
Semiconductor materials are of great importance in the development of technological devices. In particular, the trend ...
The overarching goal of our research project is the determination of the QCD topological susceptibility Xtop(T) at very ...
Fe-N-C catalysts are a promising substitution material for rare and expensive platinum catalysts on the cathodic side of ...
One important aim of modern energy-conserving technologies is magnetic cooling at room temperature. This environmentally ...
This project is concerned with promoting a more efficient usage of the HPC Systems. The two major technologies used to ...
The crustal stress state is an important information for many geological applications, e.g. directional drilling ...
Understanding the behavior of different materials not only furthers general knowledge, but can also often be used for ...
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
The coil-globule transition of aqueous polymers is of profound significance in understanding the structure and function ...
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 ...
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 photoelectron spectroscopy data of organic molecules, in our case organic semiconductors, are mainly dominated by ...
Ceria is an important support material for precious metals to catalyze oxidation reactions such as CO oxidation or the ...
The interactions of ultrashort-light pulses with solids and nanostructures is a continuously growing area due to the ...
The computational modeling of molecular transformations in organic chemistry, e.g. photo-inducible isomerizations of ...
Field-Programmable Gate Arrays (FPGA) contain programmable logic elements that can accommodate application-specific ...
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
Recent numerical stabilization approaches provide new opportunities for viscoelastic flow simulations. The numerical ...
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
The modification of intrinsic properties of graphene via defects, such as grain boundaries, has been an intense field of ...
The demand of minimization and feasibility of integration makes two-dimensional (2D) materials remarkable in promising ...
Like perovskite materials, antiperovskites (APVs) display many intriguing physical properties. Particularly, the ...
In this work, we performed first-principles calculations to evaluate the anomalous Hall conductivity as well as the ...