A machine learning approach to predict near-optimal meshes for turbulent compressible flow simulations.
Sergi Sanchez-GameroOubay HassanRubén SevillaPublished in: CoRR (2024)
Keyphrases
- fluid flow
- computational fluid dynamics
- multiresolution
- molecular dynamics
- numerical simulations
- d mesh
- three dimensional
- simulation study
- simulation environment
- blood flow
- potential functions
- provably near optimal
- flow patterns
- volumetric images
- compressive sensing
- machine learning
- patient specific
- flow field
- feature selection