Neural stochastic differential equations for particle dispersion in large-eddy simulations of homogeneous isotropic turbulence

Published in Physics of Fluids, 2022

Recommended citation: Williams, J., Wolfram, U. and Ozel, A., 2022. "Neural stochastic differential equations for particle dispersion in large-eddy simulations of homogeneous isotropic turbulence", Physics of Fluids 34, 113315 https://doi.org/10.1063/5.0121344

Highlights:

  • Used highly-resolved simulation data with neural networks to develop a stochastic model for particle dispersion

  • The model is consistent with the kinetic energy decay in large-eddy simulation of homogeneous isotropic turbulence

  • The model provides improved predictions of particle velocity distributions and fluctuating kinetic energy, compared to with no model

  • Dataset is available on Kaggle (dataset link)

  • Code for training and running simulations will be uploaded to GitHub after peer-review (repository link)