Zobrazeno 1 - 10
of 732
pro vyhledávání: '"Mehlig, B."'
Representing the glaciation of mixed-phase clouds in terms of the Wegener-Bergeron-Findeisen process is a challenge for many weather and climate models, which tend to overestimate this process because cloud dynamics and microphysics are not accuratel
Externí odkaz:
http://arxiv.org/abs/2410.06724
Small particles are transported over long distances in the atmosphere, with significant environmental impact. The transport of symmetric particles is well understood, but atmospheric particles, such as curved microplastic fibres or ash particles, are
Externí odkaz:
http://arxiv.org/abs/2409.19004
Publikováno v:
Phys. Rev. Lett. 131 (2023) 254201
Evaporation of cloud droplets accelerates when turbulence mixes dry air into the cloud, affecting droplet-size distributions in atmospheric clouds, combustion sprays, and jets of exhaled droplets. The challenge is to model local correlations between
Externí odkaz:
http://arxiv.org/abs/2309.03055
Publikováno v:
Phys. Rev. Fluids 9, 024302 (2024)
Caustics in the dynamics of heavy particles in turbulence accelerate particle collisions. The rate $\mathscr{J}$ at which these singularities form depends sensitively on the Stokes number St, the non-dimensional inertia parameter. Exact results for t
Externí odkaz:
http://arxiv.org/abs/2307.10689
We compute how small input perturbations affect the output of deep neural networks, exploring an analogy between deep networks and dynamical systems, where the growth or decay of local perturbations is characterised by finite-time Lyapunov exponents.
Externí odkaz:
http://arxiv.org/abs/2306.12548
Publikováno v:
Annual Review of Fluid Mechanics 56 (2024)
When very small particles are suspended in a fluid in motion, they tend to follow the flow. How such tracer particles are mixed, transported, and dispersed by turbulent flow has been successfully described by statistical models. Heavy particles, with
Externí odkaz:
http://arxiv.org/abs/2304.01312
Autor:
Bhowmick, T., Seesing, J., Gustavsson, K., Guettler, J., Wang, Y., Pumir, A., Mehlig, B., Bagheri, G.
Publikováno v:
Physical Review Letters 132.3 (2024): 034101
The orientation of non-spherical particles in the atmosphere, such as volcanic ash and ice crystals, influences their residence times, and the radiative properties of the atmosphere. Here, we demonstrate experimentally that the orientation of heavy s
Externí odkaz:
http://arxiv.org/abs/2303.04299
Publikováno v:
Machine Learning: Science and Technology 4 (2023) 045032
Bayesian inference can quantify uncertainty in the predictions of neural networks using posterior distributions for model parameters and network output. By looking at these posterior distributions, one can separate the origin of uncertainty into alea
Externí odkaz:
http://arxiv.org/abs/2211.14605
Publikováno v:
Journal of Fluid Mechanics 973 (2023) A11
We calculate the hydrodynamic force on a small spherical, unsteady squirmer moving with a time-dependent velocity in a fluid at rest, taking into account convective and unsteady fluid inertia effects in perturbation theory. Our results generalise tho
Externí odkaz:
http://arxiv.org/abs/2209.08138
The collision efficiency of uncharged micron-sized water droplets in air is determined by the breakdown of hydrodynamics at droplet separations of the order of the mean-free path, by van-der-Waals forces, or a combination of the two. In contrast, ele
Externí odkaz:
http://arxiv.org/abs/2209.05427