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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)

Affiliation

  • Norges miljø- og biovitenskapelige universitet
  • University of Oslo
  • SINTEF Industry / Sustainable Energy Technology

Date

19.10.2021

Year

2021

Published in

Computational Materials Science

ISSN

0927-0256

Publisher

Elsevier

Volume

202

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