• 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 (Lecture, 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;, 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 ...