Pages that link to "Item:Q2214673"
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The following pages link to A hybrid point-particle force model that combines physical and data-driven approaches (Q2214673):
Displaying 6 items.
- A disturbance corrected point-particle approach for two-way coupled particle-laden flows on arbitrary shaped grids (Q2129265) (← links)
- Physics-inspired architecture for neural network modeling of forces and torques in particle-laden flows (Q2129550) (← links)
- Incorporating grain-scale processes in macroscopic sediment transport models. A review and perspectives for environmental and geophysical applications (Q2234258) (← links)
- Microstructure-informed probability-driven point-particle model for hydrodynamic forces and torques in particle-laden flows (Q5116505) (← links)
- High-order Lagrangian algorithms for Liouville models of particle-laden flows (Q6614986) (← links)
- Accurate models of the added mass force of a uniform random distribution of spherical particles or bubbles (Q6669449) (← links)
