Blar i SINTEF Open på forfatter "Sagvolden, Espen"

Viser treff 1-7 av 7

    • 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 ...

    • High-Performance Nano Insulation Materials for Energy-Efficient Buildings 

      Jelle, Bjørn Petter; Tilset, Bente Gilbu; Gao, Tao; Grandcolas, Mathieu; Løvvik, Ole Martin; Bohne, Rolf André; Alex Mofid, Sohrab; Ng, Serina; Sagvolden, Espen (Journal article, 2017)
      High-performance nano insulation materials (Hi-Per NIM) may be developed by exploiting the Knudsen effect for reduced thermal conductivity and thus make thermal insulation materials with a nanoporous air-filled structure. ...

    • Nano Insulation Materials Exploiting the Knudsen Effect 

      Jelle, Bjørn Petter; Alex Mofid, Sohrab; Gao, Tao; Grandcolas, Mathieu; Sletnes, Malin; Sagvolden, Espen (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 ...

    • 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;, 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 ...

    • Novel Numerical Method for Studying Water Freezing on Surfaces Texturized by Laser 

      Ibrahim, Samih Haj; Wejrzanowski, Tomasz; Karl, Christian W.; Sagvolden, Espen; Karwaszewski, Jakub; Pilz, Monika; Przybyszewski, Bartłomiej; Kozera, Rafał (Peer reviewed; Journal article, 2024)
      Within this study, a methodology for the numerical simulation of droplet freezing, including a micrometer texturized pattern, was developed. The finite volume method was then applied to simulate the behavior of water ...

    • 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 ...