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O: Fachverband Oberflächenphysik

O 55: Poster Session IV: Poster to Mini-Symposium: Machine learning applications in surface science II

Tuesday, March 2, 2021, 13:30–15:30, P

13:30 O 55.1 Gaussian Approximation Potentials for Surface Catalysis — •Sina Stocker, Gábor Csányi, Karsten Reuter, and Johannes T. Margraf
13:30 O 55.2 Materials genes of heterogeneous catalysis from clean experiments and AI — •Lucas Foppa, Luca M. Ghiringhelli, Frank Rosowski, Robert Schloegl, Annette Trunschke, and Matthias Scheffler
13:30 O 55.3 Artificial Intelligence controlls Nanocars across a racetrack — •Bernhard R. Ramsauer, Oliver T. Hofmann, Grant J. Simpson, and Leonhard Grill
13:30 O 55.4 Configurational polaron energies using machine learning — •Viktor Birschitzky, Michele Reticcioli, and Cesare Franchini
13:30 O 55.5 Image-to-graph translation of atomic force microscopy images using graph neural networks — •Niko Oinonen, Fedor Urtev, Alexander Ilin, Juho Kannala, and Adam Foster
13:30 O 55.6 Inverse problem to AFM imaging with iterative correction loop — •Prokop Hapala, Lauri Kurki, Niko Oinonen, Fedor Urtev, Filippo Federici Canova, Juho Kannala, and Adam S. Foster
13:30 O 55.7 Single-Atom Alloy Catalysts Designed by First-Principles Calculations and Artificial IntelligenceZhong-Kang Han, Debalaya Sarker, Runhai Ouyang, Aliaksei Mazheika, Yi Gao, and •Sergey V. Levchenko
13:30 O 55.8 Automated Tip Functionalization and Image interpretation with Machine Learning in Atomic Force MicroscopyBenjamin Alldritt, Chen Xu, Prokop Hapala, Niko Oinonen, •Fedor Urtev, Lauri Kurki, Ondrej Krejci, Filippo Federici Canova, Juho Kannala, Peter Liljeroth, and Adam Foster
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