Dresden 2020 – scientific programme
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CPP: Fachverband Chemische Physik und Polymerphysik
CPP 64: Topical Session: Data Driven Materials Science - Materials Data Management (joint session MM/CPP)
Wednesday, March 18, 2020, 10:15–11:30, BAR 205
10:15 | CPP 64.1 | Topical Talk: Automated atomistic calculation of thermodynamic and thermophysical data — •Jan Janssen, Tilmann Hickel, and Jörg Neugebauer | |
10:45 | CPP 64.2 | Big data in materials science: Status of and needs for metadata and ontologies — •Maja-Olivia Lenz, Luca M. Ghiringhelli, Carsten Baldauf, and Matthias Scheffler | |
11:00 | CPP 64.3 | Benchmarking neural networks on sequence-determined polymer transport through lipid membranes — •Marco Werner, Yachong Guo, and Vladimir Baulin | |
11:15 | CPP 64.4 | Analysis of Materials Structural Representations for Machine Learning Interatomic Potentials — •Berk Onat, Christoph Ortner, and James Kermode | |