Record link: 
http://hdl.handle.net/20.500.12708/222945
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Title: 
Exploring inhomogeneous surfaces via active learning
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Citation: 
Wanzenböck, R., Heid, E., Riva, M., Franceschi, G., Imre, A. M., Carrete, J., Diebold, U., & Madsen, G. K. H. (2025). Exploring inhomogeneous surfaces via active learning. In ECSD-16/ICSOS-14 Book of Abstracts (pp. 90–90).
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Wanzenböck, Ralf 
Heid, Esther 
Riva, Michele 
Franceschi, Giada 
Imre, Alexander Michael 
Carrete, Jesús 
Diebold, Ulrike 
Madsen, Georg Kent Hellerup 
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Organisational Unit: 
E165-03-1 - Forschungsgruppe Theoretische Materialchemie 
E056-04 - Fachbereich TU-DX: Towards Applications of 2D Materials 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
E134-05 - Forschungsbereich Surface Physics 
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Published in: 
ECSD-16/ICSOS-14 Book of Abstracts 
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Date (published): 
2025
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Event name: 
16th European Conference on Surface Crystallography and Dynamics & 14th International Conference on the Structure of Surfaces : ECSCD-16/ICSOS-14 
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Event date: 
2-Jun-2025 - 6-Jun-2025
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Event place: 
Wien, Austria
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Number of Pages: 
1
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Keywords: 
Machine Learning Interatomic Potentials (ML-IAPs); structure search; surface reconstruction
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Research Areas: 
Modeling and Simulation: 50%
Computational Materials Science: 50%
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Science Branch: 
1040 - Chemie: 100%
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Appears in Collections:
Conference Paper

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