most citedMachine learning approaches to close the filtered two-fluid model for gas-solid flows: Models for subgrid drag force and solid phase stress

26 citations · 26 across the 1 of their papers we have counts for

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1 paper

physics.flu-dyn2023★ 26 cited

Machine learning approaches to close the filtered two-fluid model for gas-solid flows: Models for subgrid drag force and solid phase stress

Baptiste Hardy, Stefanie Rauchenzauner, Pascal Fede +4

Gas-particle flows are commonly simulated through two-fluid model at industrial-scale. However, these simulations need very fine grid to have accurate flow predictions, which is pr…