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)