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Browsing SINTEF Industri by Author "Sagvolden, Espen"

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    • Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges 

      Tabib, Mandar; Løvvik, Ole Martin; Johannessen, Kjetil Andre; Rasheed, Adil; Sagvolden, Espen; Rustad, Anne Marthine (Journal article; Peer reviewed, 2018)
      This work involves the use of combined forces of data-driven machine learning models and high fidelity density functional theory for the identification of new potential thermoelectric materials. The traditional method of ...
    • Nano Insulation Materials Exploiting the Knudsen Effect 

      Jelle, Bjørn Petter; Alex Mofid, Sohrab; Gao, Tao; Grandcolas, Mathieu; Sletnes, Malin; Sagvolden, Espen (IOP Conference Series: Materials Science and Engineering;, Conference object; Journal article; Peer reviewed, 2019)
      As the world's focus is turned even stronger toward miscellaneous energy efficiency and saving aspects, the development of new high-performance thermal insulation materials for building applications will play an important ...
    • Prediction of solute diffusivity in Al assisted by first-principles molecular dynamics 

      Løvvik, Ole Martin; Sagvolden, Espen; Li, Yanjun (Peer reviewed; Journal article, 2014)
      Ab initio calculations of the solid-state diffusivity of solute atoms in bulk aluminium have previously been based on transition state theory (TST), employing transition state searches and systematic assessments of single ...
    • Surface Reconstruction, Hydration, and Adhesion of Epoxy to the (0001) Surface of α-Berlinite: Insights from Density Functional Theory Calculations 

      Sagvolden, Espen; Sunding, Martin Fleissner; Swang, Ole (Peer reviewed; Journal article, 2020)
      Phosphoric acid anodization (PAA) is a candidate for replacement of toxic chromates during the surface treatment of aluminum prior to gluing in the aerospace industry. During PAA, a layer of AlPO4 forms on top of the alumina ...

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