• 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 ...
    • Isogeometric analysis using LR B-splines 

      Johannessen, Kjetil Andre; Kvamsdal, Trond; Dokken, Tor (Journal article; Peer reviewed, 2014)
      The recently proposed locally refined B-splines, denoted LR B-splines, by Dokken et al. (2013) [6] may have the potential to be a framework for isogeometric analysis to enable future interoperable computer aided design and ...