A neural network that uses potential-flow-derived features as inputs can predict nearby steady flows from one high-fidelity simulation and warm-start a CFD solver.
Enhancement of Low Fidelity Fluid Simulations using Machine Learn- ing
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
physics.flu-dyn 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Multi-Fidelity Machine Learning Applied to Steady Fluid Flows
A neural network that uses potential-flow-derived features as inputs can predict nearby steady flows from one high-fidelity simulation and warm-start a CFD solver.