Regensburg 2019 – wissenschaftliches Programm
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MM: Fachverband Metall- und Materialphysik
MM 4: Methods in Computational Materials Modelling (methodological aspects, numerics)
Montag, 1. April 2019, 10:15–13:15, H45
Sessions: Automated workflows and High throughput searches
10:15 | MM 4.1 | Formation enthalpies for automated computational materials design — •Rico Friedrich, Demet Usanmaz, Corey Oses, Andrew Supka, Marco Fornari, Marco Buongiorno Nardelli, Cormac Toher, and Stefano Curtarolo | |
10:30 | MM 4.2 | Accelerating high-throughput searches for new alloys with active learning of interatomic potentials — •Konstantin Gubaev, Evgeny Podryabinkin, Gus Hart, and Alexander Shapeev | |
10:45 | MM 4.3 | Automated error analysis and control for ab initio calculations — •Jan Janssen, Tilmann Hickel, and Joerg Neugebauer | |
11:00 | MM 4.4 | Flexible and User-friendly Symmetry-Constrained Optimization and its Application to Study Different SiO2 Polymorphs — •Sara Panahian Jand, Maja-Olivia Lenz, David Hicks, Stefano Curtarolo, Matthias Scheffler, and Christian Carbogno | |
11:15 | MM 4.5 | Uncertainty Quantification Framework for Force-Matched Classical Potentials — •Peter Brommer and Sarah Longbottom | |
11:30 | 15 min. break | ||
11:45 | MM 4.6 | On finding the dipole in the haystack of MD trajectories — •Frederic Felsen, David Egger, and Christoph Scheurer | |
12:00 | MM 4.7 | The contribution has been withdrawn. | |
12:15 | MM 4.8 | Screening of rare-earth-lean intermetallic 1-11-X, 1-12-X, and 1-13-X compounds for hard-magnetic applications — Wolfgang Körner, •Daniel F. Urban, and Christian Elsässer | |
12:30 | MM 4.9 | A local Bayesian optimizer for atomic structures — •Estefanía Garijo del Río, Jens Jørgen Mortensen, and Karsten Wedel Jacobsen | |
12:45 | MM 4.10 | Machine learning enhanced atomistic simulation of ZrB2 at ultra-high temperatures — •Yanhui Zhang, Alessandro Lunghi, and Stefano Sanvito | |
13:00 | MM 4.11 | The contribution has been withdrawn. | |