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
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13:30 |
O 55.1 |
Gaussian Approximation Potentials for Surface Catalysis — •Sina Stocker, Gábor Csányi, Karsten Reuter, and Johannes T. Margraf
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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
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13:30 |
O 55.3 |
Artificial Intelligence controlls Nanocars across a racetrack — •Bernhard R. Ramsauer, Oliver T. Hofmann, Grant J. Simpson, and Leonhard Grill
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13:30 |
O 55.4 |
Configurational polaron energies using machine learning — •Viktor Birschitzky, Michele Reticcioli, and Cesare Franchini
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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
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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
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13:30 |
O 55.7 |
Single-Atom Alloy Catalysts Designed by First-Principles Calculations and Artificial Intelligence — Zhong-Kang Han, Debalaya Sarker, Runhai Ouyang, Aliaksei Mazheika, Yi Gao, and •Sergey V. Levchenko
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13:30 |
O 55.8 |
Automated Tip Functionalization and Image interpretation with Machine Learning in Atomic Force Microscopy — Benjamin 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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