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Gustavsson, K.

  1. Finite-time Lyapunov exponents of deep neural networks
    2023/06/21 by Storm, L., Linander, H., Bec, J. +2 · 3 citations
    #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. Inertia induces strong orientation fluctuations of non-spherical atmospheric particles
    2023/03/08 by Bhowmick, T., Seesing, J., Gustavsson, K. +5 · 3 citations
    #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
  3. Caustic formation in a non-Gaussian model for turbulent aerosols
    2023/07/20 by Jan Meibohm, Meibohm, J., L. Sundberg +5 · 2 citations
    Engineering · Environmental Science · #Air Quality and Health Impacts #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Particle Dynamics in Fluid Flows #Statistical Mechanics (cond-mat.stat-mech) #Wind and Air Flow Studies
  4. Critical charges for droplet collisions
    2022/09/12 by A. Dubey, Dubey, A., G. P. Bewley +5 · 1 citation
    Engineering · Materials Science · #Electrohydrodynamics and Fluid Dynamics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Heat Transfer #Surface Modification and Superhydrophobicity
  5. Effect of particle inertia on the alignment of small ice crystals in turbulent clouds
    2020/07/22 by Gustavsson, K., Sheikh, M. Z., Naso, A. +2 · 1 citation
    #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Soft Condensed Matter (cond-mat.soft)
  6. Torques on curved atmospheric fibres
    2024/09/21 by Fabien Candelier, Candelier, F., K. Gustavsson +11 · 2 citations
    Engineering · #Aerospace Engineering and Energy Systems #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)