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MM: Fachverband Metall- und Materialphysik
MM 33: Topical session (Symposium MM): Big Data Analytics in Materials Science
Donnerstag, 4. April 2019, 10:15–13:15, H43
Sessions: Big Data Analytics in Materials Science I and II
10:15 | MM 33.1 | Topical Talk: Supervised and unsupervised learning from the large body of materials literature — •Gerbrand Ceder | |
10:45 | MM 33.2 | Reproducible massive calculations and data sharing with AiiDA and the Materials Cloud — •Giovanni Pizzi, Leopold Talirz, Snehal Kumbhar, Aliaksandr Yakutovich, Elsa Passaro, Marco Borelli, Sebastiaan P. Huber, Martin Uhrin, Spyros Zoupanos, Fernando Gargiulo, Ole Schuett, Joost VandeVondele, Thomas C. Schulthess, Berend Smit, and Nicola Marzari | |
11:00 | MM 33.3 | The NOMAD 2018 Kaggle Competition: Tackling Materials-Science Challenges through Crowd Sourcing — •Christopher Sutton, Luca M. Ghiringhelli, Takenori Yamamoto, Xiangyue Liu, Angelo Ziletti, and Matthias Scheffler | |
11:15 | MM 33.4 | Symmetry-invariant basis representations for machine- learning of electronic structure data beyond energies — •Michael Luya and Reinhard J. Maurer | |
11:30 | 15 min. break | ||
11:45 | MM 33.5 | Topical Talk: Extending high-throughput materials discovery to finite temperatures: Concepts and application — •Tilmann Hickel, Janssen Jan, Halil Sözen, Fritz Körmann, Sudarsan Surendralal, Mira Todorova, Yury Lysogorskiy, Ralf Drautz, and Jörg Neugebauer | |
12:15 | MM 33.6 | Crystal-structure identification in polycrystals via Bayesian deep learning — •Angelo Ziletti, Andreas Leitherer, Matthias Scheffler, and Luca Ghiringhelli | |
12:30 | MM 33.7 | Neural-network representation of materials for robust crystal-structure recognition — •Andreas Leitherer, Angelo Ziletti, Matthias Scheffler, and Luca M. Ghiringhelli | |
12:45 | MM 33.8 | Artificial intelligence in materials science: towards optimal descriptors — •Benedikt Hoock, Santiago Rigamonti, Luca Ghiringhelli, Matthias Scheffler, and Claudia Draxl | |
13:00 | MM 33.9 | Global sensitivity analysis and surrogate modeling for materials models with rapid local variations — Juan Lorenzi, Sandra Döpking, and •Sebastian Matera | |