most citedMachine Learning for Physics-Informed Generation of Dispersed Multiphase Flow Using Generative Adversarial Networks

49 citations · 49 across the 1 of their papers we have counts for

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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…