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Dresden 2020 – scientific programme

The DPG Spring Meeting in Dresden had to be cancelled! Read more ...

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CPP: Fachverband Chemische Physik und Polymerphysik

CPP 18: Topical Session: Data Driven Materials Science - Materials Design II (joint session MM/CPP)

Monday, March 16, 2020, 11:45–13:00, BAR 205

11:45 CPP 18.1 Versatile Bayesian deep-learning framework for crystal-structure recognition in single- and polycrystalline materials — •Andreas Leitherer, Angelo Ziletti, Matthias Scheffler, and Luca M. Ghiringhelli
12:00 CPP 18.2 Parametrically Constrained Geometry Relaxations for High-Throughput Materials Science — •Maja-Olivia Lenz, Thomas A. R. Purcell, David Hicks, Stefano Curtarolo, Matthias Scheffler, and Christian Carbogno
12:15 CPP 18.3 Combining ab-initio and data-guided approaches for refractory multi-principal element alloys design — •Yury Lysogorskiy, Alberto Ferrari, and Ralf Drautz
12:30 CPP 18.4 Data-Efficient Machine Learning for Crystal Structure Prediction — •Simon Wengert, Gábor Csányi, Karsten Reuter, and Johannes T. Margraf
12:45 CPP 18.5 Uncovering Anharmonicity in Material Space — •Thomas Purcell, Florian Knoop, Chuanqi Xu, Matthias Scheffler, Luca Ghiringhelli, and Christian Carbogno
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DPG-Physik > DPG-Verhandlungen > 2020 > Dresden