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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 68: Topical Session: Data Driven Materials Science - Descriptors (joint session MM/CPP)

Wednesday, March 18, 2020, 11:45–13:15, BAR 205

11:45 CPP 68.1 Evaluating representations of atomistic systems for machine learning — •Marcel Langer and Matthias Rupp
12:00 CPP 68.2 Information-theory-driven identification of compact descriptors for accurate machine-learning predictions — •Benjamin Regler, Matthias Scheffler, and Luca M. Ghiringhelli
12:15 CPP 68.3 Size-Extensive Molecular Machine Learning with Global Descriptors — •Johannes Margraf, Hyunwook Jung, Sina Stocker, Christian Kunkel, and Karsten Reuter
12:30 CPP 68.4 Hierarchical SISSO: predicting complex materials properties building on simpler ones — •Lucas Foppa, Sergey V. Levchenko, Matthias Scheffler, and Luca M. Ghiringhelli
12:45 CPP 68.5 Similarity descriptors for data-driven materials science — •Martin Kuban, Santiago Rigamonti, and Claudia Draxl
13:00 CPP 68.6 Machine-learning descriptors with domain knowledge of the interatomic bond — •Thomas Hammerschmidt, Jan Jenke, Aparna P.A. Subramanyam, Jörg Koßmann, Yury Lysogorskiy, and Ralf Drautz
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