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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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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 ...
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 ...
Nowadays, the design and optimization of fluidized beds are primarily based on experimental investigations which are ...
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 ...
Thin films of lead zirconate-titanate (PZT) belong to the most widely used ferroelectric materials. They possess large ...
Dielectric capacitors are considered to be promising candidates for energy storage applications in high power ...
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
Many technical applications in chemistry engineering are multiphase flows as they contain entrained air or effects such ...
Recent numerical stabilization approaches provide new opportunities for viscoelastic flow simulations. The numerical ...
Not only in automotive and aviation industries, but also in shipping the engine manufacturer are forced by new ...
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 underlying research project deals with the flow accelerated corrosion and erosion in cooling systems of combustion ...
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 ...