Record link: 
http://hdl.handle.net/20.500.12708/210090
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Title: 
A systematic way of improving machine learning potentials through spatially resolved uncertainty
en
Citation: 
Heid, E. C., Schörghuber, J., Wanzenböck, R., & Madsen, G. K. H. (2024). A systematic way of improving machine learning potentials through spatially resolved uncertainty. In Book of Abstracts: 12th Visegrad Symposium on Biomolecular Interactions (pp. 22–22).
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Heid, Esther Carina 
Schörghuber, Johannes 
Wanzenböck, Ralf 
Madsen, Georg Kent Hellerup 
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Organisational Unit: 
E165-03-1 - Forschungsgruppe Theoretische Materialchemie 
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Published in: 
Book of Abstracts: 12th Visegrad Symposium on Biomolecular Interactions 
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Date (published): 
2024
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Event name: 
12th Visegrad Symposium on Biomolecular Interactions 
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Event date: 
5-Jun-2024
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Event place: 
Slovakia
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Number of Pages: 
1
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Keywords: 
Machine Learning; Uncertainty; Potential energy
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Research Areas: 
Materials Characterization: 20%
Modeling and Simulation: 30%
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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