59 citations · 108 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2020★ 59 cited
Towards Particle-Resolved Accuracy in Euler-Lagrange Simulations of Multiphase Flow Using Machine Learning and Pairwise Interaction Extended Point-particle (PIEP) Approximation
S. Balachandar, W. C. Moore, G. Akiki +1
This study presents two different machine learning approaches for the modeling of hydrodynamic force on particles in a particle-laden multiphase flow. Results from particle-resolve…
physics.flu-dyn2020★ 49 cited
Machine Learning for Physics-Informed Generation of Dispersed Multiphase Flow Using Generative Adversarial Networks
B. Siddani, S. Balachandar, W. C. Moore +2
Fluid flow around a random distribution of stationary spherical particles is a problem of substantial importance in the study of dispersed multiphase flows. In this paper we presen…