138 citations · 2k across the 82 of their papers we have counts for
4 papers · 1 filter
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations
Maximilian Mueller, Robin Greif, Frank Jenko +1
We investigate uncertainty estimation and multimodality via the non-deterministic predictions of Bayesian neural networks (BNNs) in fluid simulations. To this end, we deploy BNNs i…
Numerical simulations of the Princeton magneto-rotational instability experiment with conducting axial boundaries
Xing Wei, Hantao Ji, Jeremy Goodman +4
We investigate numerically the Princeton magneto-rotational instability (MRI) experiment and the effect of conducting axial boundaries or endcaps. MRI is identified and found to re…
Identification of vortexes obstructing the dynamo mechanism in laboratory experiments
Angelo Limone, David R Hatch, Cary B Forest +1
The magnetohydrodynamic dynamo effect explains the generation of self-sustained magnetic fields in electrically conducting flows, especially in geo- and astrophysical environments.…
Lagrangian Particle Statistics in Turbulent Flows from a Simple Vortex Model
M. Wilczek, F. Jenko, R. Friedrich
The statistics of Lagrangian particles in turbulent flows is considered in the framework of a simple vortex model. Here, the turbulent velocity field is represented by a temporal s…