Now showing items 935-939 of 939

    • Zeolite surface methoxy groups as key intermediates in the stepwise conversion of methane to methanol 

      Dyballa, Michael Martin; Thorshaug, Knut; Pappas, Dimitrios; Borfecchia, Elisa; Kvande, Karoline; Bordiga, Silvia; Berlier, Gloria; Lazzarini, Andrea; Olsbye, Unni; Beato, Pablo; Svelle, Stian; Arstad, Bjørnar (Journal article; Peer reviewed, 2019)
      This contribution clarifies the overoxidation-preventing key step in the methane-to-methanol (MTM) conversion over copper mordenite zeolites. We followed the methane-to-methanol conversion over copper mordenite zeolites ...
    • Zero Stress Aging of Glass and Carbon Fibers in Water and Oil—Strength Reduction Explained by Dissolution Kinetics 

      Echtermeyer, Andreas; Krauklis, Andrey; Gagani, Abedin; Sæter, Erik (Peer reviewed; Journal article, 2019)
      Understanding the strength degradation of glass and carbon fibers due to exposure to liquids over time is important for structural applications. A model has been developed for glass fibers that links the strength reduction ...
    • Zinc schiff base complexes derived from 2,2'-diaminobiphenyls: Solution behavior and reactivity towards nitrogen bases 

      Hylland, Knut Tormodssønn; Øien-Ødegaard, Sigurd; Heyn, Richard H.; Tilset, Mats (Peer reviewed; Journal article, 2020)
    • µSR study of Al-0.67%Mg-0.77%Si alloys 

      Nishimura, Katsuhiko; Matsuda, Kenji; Komaki, R; Nunomura, Norio; Wenner, Sigurd; Holmestad, Randi; Matsuzaki, Teiichiro; Watanabe, Isao; Pratt, Francis L.; Marioara, Calin Daniel (Peer reviewed; Journal article, 2014)
      Zero-field muon spin relaxation measurements were carried out with Al-0.67%Mg- 0.77%Si alloys in the temperature range from 20 K to 300 K. Observed relaxation spectra were compared with the relaxation functions calculated ...
    • μDIC: An open-source toolkit for digital image correlation 

      Olufsen, Sindre Nordmark; Andersen, Marius Endre; Fagerholt, Egil (Journal article; Peer reviewed, 2020)
      We here present a Digital Image Correlation toolkit, formulated as a Python package. This package aims at providing a complete toolkit for performing DIC analysis on experimental data, performing virtual experiments, as ...