Berlin 2018 – scientific programme

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MM: Fachverband Metall- und Materialphysik

MM 56: Topical Session (Symposium MM): Big Data in Materials Science - Managing and exploiting the raw material of the 21st century

Thursday, March 15, 2018, 11:45–13:15, H 0107

Big Data III

	11:45	MM 56.1	Topical Talk: On the need for a digital representation of materials data along scientific and industrial processes — •Christoph Schweizer, Eva Augenstein, Heiner Oesterlin, and Adham Hashibon
	12:15	MM 56.2	Probabilistic neural network design of an alloy for direct laser deposition — Bryce Conduit, Trevor Illston, Divya Vadgadde Duggappa, Scarlett Baker, Steve Harding, Howard Stone, and •Gareth Conduit
	12:30	MM 56.3	ab initio Phase Stability: From 0 K to Relevant Temperatures — •Moritz to Baben, Chandrahaasan Kattuputhur, and Klaus Hack
	12:45	MM 56.4	Damage classification in DP steel using neural networks — •Tom Reclik, Carl F. Kusche, Ulrich Kerzel, and Sandra Korte-Kerzel
	13:00	MM 56.5	A machine-learning approach for finding new hard-magnetic phases — Johannes J. Möller, Anna J. Lehner, Daniel F. Urban, and •Christian Elsässer