Record link: 
http://hdl.handle.net/20.500.12708/153186
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Title: 
Study of HfO₂ Phases Using Machine Learning Potentials
en
Citation: 
Bichelmaier, S., Carrete Montana, J., & Madsen, G. K. H. (2022, May 12). Study of HfO₂ Phases Using Machine Learning Potentials [Conference Presentation]. 2022 MRS Spring Meeting - Frontiers of In Situ Materials Characterization, Honolulu, United States of America (the). http://hdl.handle.net/20.500.12708/153186
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Publication Type: 
Presentation - Conference Presentation
en
Language: 
English
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Authors: 
Bichelmaier, Sebastian 
Carrete Montana, Jesús 
Madsen, Georg Kent Hellerup 
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Organisational Unit: 
E165-03-1 - Forschungsgruppe Theoretische Materialchemie 
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Date (published): 
12-May-2022
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Event name: 
2022 MRS Spring Meeting - Frontiers of In Situ Materials Characterization 
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Event date: 
8-May-2022 - 25-May-2022
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Event place: 
Honolulu, United States of America (the)
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Keywords: 
Machine Learning
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Research Areas: 
Quantum Modeling and Simulation: 20%
Materials Characterization: 40%
Computational Materials Science: 40%
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Science Branch: 
1040 - Chemie: 100%
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