Berlin 2018 – wissenschaftliches Programm

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MM: Fachverband Metall- und Materialphysik

MM 51: Topical Session (Symposium MM): Big Data in Materials Science - Managing and exploiting the raw material of the 21st century

Donnerstag, 15. März 2018, 10:15–11:45, H 0107

Big Data II

	10:15	MM 51.1	Towards a Roadmap of Chemical Space — •Johannes Margraf and Karsten Reuter
	10:30	MM 51.2	CritCat (H2020): Rational design of catalyst materials from first-principles — •Jaakko Akola
	10:45	MM 51.3	Machine Learning Structural Descriptors on Nanocluster Catalysts — •Marc Jäger, Eiaki Morooka, and Adam Foster
	11:00	MM 51.4	Automatic Selection of Atomic Fingerprints for Machine-Learning Potentials — •Giulio Imbalzano
	11:15	MM 51.5	Data-driven assessment of the transferability of effective interatomic potentials — •Y.V. Lysogorskiy, T. Hammerschmidt, and R. Drautz
	11:30	MM 51.6	Data-driven approach to accelerate the development of Bond-Order-Potentials — •Jan Jenke, Aparna P.A. Subramanyam, Alvin Ladines, Thomas Hammerschmidt, and Ralf Drautz