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Turbulent aerosols

Turbulent aerosols are suspensions of heavy particles in a turbulent fluid. Examples  are micron-sized water droplets or small ice crystals in turbulent clouds, virus-carrying droplets in the turbulent jet of exhaled air, or micron-sized dust grains in the turbulent gas around a growing star -- grain aggregation is thought to be the first stage of planet formation.

How do the particles grow or shrink in size by collisional aggregation or fragmentation,  and in the case of droplets, by condensation or evaporation? Turbulence plays an essential role -- it may accelerate or slow down particle growth -- but the mechanisms are not understood because  the analysis of these highly non-linear and multi-scale systems poses formidable challenges. Experiments resolving the motion of tiny particles in turbulence have only recently become possible, and direct numerical simulation of such systems is still immensely difficult.

Therefore we pursue a different approach: we derive idealised statistical models for turbulent aerosols that can be rigorously analysed using methods from non-equilibrium statistical physics and dynamical-systems theory. The turbulent velocity fluctuations are represented in terms of a stochastic synthetic turbulence model, and perturbation theory makes it possible to compute how  the particles sample the turbulence, assuming that they do not directly interact. This allowed us to  identify and describe key mechanisms that determine fractal spatial patterns of particles in dilute turbulent aerosols (Figure 1). See our review article [1] for a summary of recent progress.

Read more: Turbulent aerosols

Cloud physics

Read more: Cloud physics

Droplet collisions

Read more: Droplet collisions

Active matter

Read more: Active matter

Random-matrix theory

Read more: Random-matrix theory

Passive directors

Read more: Passive directors

Isotropic helicoids

Read more: Isotropic helicoids

More Articles …

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  • 1
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Professor Bernhard Mehlig, Department of Physics, University of Gothenburg, 41296 Gothenburg, Sweden

  • Home
  • Research
  • Group
  • Publications
    • Neural networks book
    • arxiv
    • google scholar
    • Review articles
  • Talks
  • Teaching
    • Neural networks (Eindhoven)
    • Neural networks (Gothenburg)
    • Neural networks (Göttingen)
    • Neural networks (Tsinghua)
    • Neural networks (OpenTA)
    • Non-equilibrium stochastic processes
    • Computational Biology~A
    • Computational Biology~B
    • Complex adaptive systems
    • Dynamical Systems
    • Chance and chaos
  • Activities
    • In the clouds
    • Cloud physics on the Zugspitze
    • Particle growth in turbulence
    • Past activities
  • CV
  • Links
  • Contact