
High Throughput Optimization of Permanent Magnetic Materials
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
Sie können Ihre Fragen zum Hochleistungsrechnen an der TU Darmstadt an darmstadt@hpc-hessen.de senden.
Das HKHLR Team in Darmstadt arbeitet eng mit den Administratorinnen und Administratoren des Lichtenberg Clusters zusammen.
Magnetic materials are key components for energy harvesting and conversion, information technology and sensor ...
Since the beginning of the past century people are interested in the mechanisms which produce the sound caused by a drop ...
In recent years studying the field of aeroacoustics has been received special attention from researches for its ...
Predicting the temperature dependent properties of magnetic materials is still challenging, which cannot be dealt with ...
In the context of global warming the necessity of efficient and low emission combustion applications arises. In addition ...
This project aims into testing the ability of the scale-adaptive turbulence model christened “Instability Sensitive ...
Semiconductors are the fundament of modern technology and still in the focus of current research. With decreasing size ...
Fe-N-C catalysts are a promising substitution material for rare and expensive platinum catalysts on the cathodic side of ...
The formation of pollutants in direct injection engines is a field of research with high practical impact. Against this ...
3D computational fluid dynamics (CFD) simulations are nowadays an established method in science and a tool in industrial ...
Holding unique characteristics, such as a high strength and large elastic limit, metallic glasses are advanced materials ...
Ceria is an important support material for precious metals to catalyze oxidation reactions such as CO oxidation or the ...
Many technical applications in chemistry engineering are multiphase flows as they contain entrained air or effects such ...
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 ...
In numerous new fields of technology (including lightweight construction, medical technology) it is desirable to ...
Magnetic interactions in transition metal complexes arise from coupling of unpaired electrons, usually localized ...
The photoelectron spectroscopy data of organic molecules, in our case organic semiconductors, are mainly dominated by ...
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 ...
Not only in automotive and aviation industries, but also in shipping the engine manufacturer are forced by new ...
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 ...
Entanglements between polymer chains are demonstrated as one of the key factors to modulate the macroscopic physical ...
In Cu(In,Ga)(S,Se)2 (CIGS) thin-film solar cells, Ga gradient forms readily during the CIGS growth resulting to a high ...
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...