Record link: 
http://hdl.handle.net/20.500.12708/153351
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Title: 
Using machine-learning models to accelerate interatomic-force-constant calculations
en
Citation: 
Carrete Montana, J. (2022, May 12). Using machine-learning models to accelerate interatomic-force-constant calculations [Conference Presentation]. MRS Spring Meeting & Exhibit, Honolulu, Hawaii, United States of America (the). http://hdl.handle.net/20.500.12708/153351
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Publication Type: 
Presentation - Conference Presentation
en
Language: 
English
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Authors: 
Carrete Montana, Jesús 
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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: 
MRS Spring Meeting & Exhibit 
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Event date: 
8-May-2022 - 13-May-2022
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Event place: 
Honolulu, Hawaii, 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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