Lattice thermal conductivity of half-Heuslers with density functional theory and machine learning: Enhancing predictivity by active sampling with principal component analysis
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Category
Academic article
Client
- Sigma2 / NN9711k
- Research Council of Norway (RCN) / 314778
Language
English
Author(s)
- Rasmus André Tranås
- Ole Martin Løvvik
- Oliver Tomic
- Kristian Berland
Affiliation
- Norges miljø- og biovitenskapelige universitet
- University of Oslo
- SINTEF Industry / Sustainable Energy Technology
Date
19.10.2021
Year
2021Published in
Computational Materials Science
ISSN
0927-0256
Publisher
Elsevier
Volume
202