Atle Jensen

• Rabault, Jean; Sutherland, Graig; Gundersen, Olav; Jensen, Atle; Marchenko, Aleksey & Breivik, Øyvind (2020). An open source, versatile, affordable waves in ice instrument for scientific measurements in the Polar Regions. Cold Regions Science and Technology.  ISSN 0165-232X.  170 . doi: 10.1016/j.coldregions.2019.102955
• Vollestad, Petter; Angheluta, Luiza & Jensen, Atle (2020). Experimental study of secondary flows above rough and flat interfaces in horizontal gas-liquid pipe flow. International Journal of Multiphase Flow.  ISSN 0301-9322. . doi: https://doi.org/10.1016/j.ijmultiphaseflow.2020.103235
• Carr, Magda; Sutherland, Peter; Haase, Andrea; Evers, Karl-Ulrich; Fer, Ilker; Jensen, Atle; Kalisch, Henrik; Berntsen, Jarle; Părău, Emilian I.; Thiem, Øyvind & Davies, Peter A. (2019). Laboratory experiments on internal solitary waves in ice-covered waters. Geophysical Research Letters.  ISSN 0094-8276.  46(21), s 12230- 12238 . doi: 10.1029/2019GL084710 Fulltekst i vitenarkiv.
• Mossige, Endre Joachim; Edvardsen, Bente; Jensen, Atle & Mielnik, Michal Marek (2019). A tunable, microfluidic filter for clog‑free concentration and separation of complex algal cells. Microfluidics and Nanofluidics.  ISSN 1613-4982.  23(56) . doi: 10.1007/s10404-019-2209-y Fulltekst i vitenarkiv. Vis sammendrag

  An inherent problem with microfluidic filters is the tendency to clog, especially when applied to cells due to their geometrical complexity, deformability, and tendency to adhere to surfaces. In this work, we handle live algal cells of high complexity without signs of clogging, achieved by exploiting hydrodynamic interactions around trilobite-shaped filtration units. To characterize the influence of cell complexity on the separation and concentration mechanisms, we compare the hydrodynamic interactions to those of synthetic, rigid microparticles. We discover that simple rolling along the filter structures, which prevents clogging for particles, cannot be applied to cells. Instead, we find that inertial effects must be employed to minimize the filter interactions and that this modification leads to only a minor reduction in device performance.

• Rabault, Jean; Kuchta, Miroslav; Jensen, Atle; Reglade, Ulysse Antoine & Cerardi, Nicolas (2019). Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control. Journal of Fluid Mechanics.  ISSN 0022-1120.  865, s 281- 302 . doi: 10.1017/jfm.2019.62 Fulltekst i vitenarkiv.

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• Breivik, Øyvind; Rabault, Jean; Hole, Lars R; Christensen, Kai Håkon; Müller, Malte; Jensen, Atle & Mauritzen, Cecilie (2019). Bølger i isen påvirker Arktis. Å forstå isdønningene kan forbedre værvarsler og klimamodeller.. Forskning.no.  ISSN 1891-635X.
• Løken, Trygve Kvåle; Rabault, Jean; Jensen, Atle; Christensen, Kai Håkon & Müller, Malte (2019). Wave statistics from ship mounted sensors in the marginal ice zone.
• Marchenko, Aleksey; Haase, Andrea; Jensen, Atle; Lishman, Ben & Rabault, Jean (2019). Laboratory investigations of the bending rheology of floating saline ice and wave damping in the HSVA ice tank.
• Rabault, Jean; Jensen, Atle & Kuchta, Miroslav (2019). Deep Reinforcement Learning reduces cylinder drag in a 2D flow simulation: a first step towards novel Active Flow Control methodology?.
• Rabault, Jean; Sutherland, Graig J. & Jensen, Atle (2019). Measurements of sea ice drift and dynamics using an open source instrument.

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