Record link: 
http://hdl.handle.net/20.500.12708/222255
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Title: 
Active and generative learning on ML potentials: From interfaces to reaction pathways
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Citation: 
Heid, E. C. (2025, July 16). Active and generative learning on ML potentials: From interfaces to reaction pathways [Conference Presentation]. CIG Meeting Budapest 2025 : Conference on machine learning and multiscale modeling of nanocrystal catalysts, Budapest, Hungary.
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Heid, Esther Carina 
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Organisational Unit: 
E165-03-1 - Forschungsgruppe Theoretische Materialchemie 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
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Date (published): 
16-Jul-2025
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Event name: 
CIG Meeting Budapest 2025 : Conference on machine learning and multiscale modeling of nanocrystal catalysts 
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Event date: 
16-Jul-2025 - 18-Jul-2025
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Event place: 
Budapest, Hungary
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Keywords: 
Active learning; Machine learning potential; generative modeling
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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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