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Displaying 1 - 6 of 6
Machine Learning Application in Automotive Catalysts
The computational resources of the Lichtenberg HPC were used in this project to train physics informed machine learning ...
NaturwissenschaftenChemische Festkörper- und Oberflächenforschung
High-Throughput Discovery of Mab and Mbene Superconductors
We survey the landscape of MAB and Mbene superconductors out of our previous high-throughput predictions using first ...
NaturwissenschaftenPhysik der kondensierten Materie
CCDCGAN: Inverse design of crystal structures
Autonomous materials discovery with desired properties is one of the ultimate goals for modern materials science, and ...
NaturwissenschaftenPhysik der kondensierten Materie
High-Throughput Design of New Perovskite Oxide Antiferroelectric Materials
Antiferroelectric (AFE) materials have recently been of a great interest, due to their unique applications in the energy ...
NaturwissenschaftenPhysik der kondensierten Materie
Testing and Development of Methods for the Calculation of Phase Diagrams of Interatomic Potentials
Understanding the behavior of different materials not only furthers general knowledge, but can also often be used for ...
NaturwissenschaftenStatistische Physik, Weiche Materie, Biologische Physik, Nichtlineare Dynamik
Determination of the Particle Loading of Drops in a Spray
Colloid suspension droplets are widely encountered in industrial processes, for instance fuels with dispersed, metallic ...
NaturwissenschaftenOptik, Quantenoptik und Physik der Atome, Moleküle und Plasmen
