A data-driven machine learning framework for modeling of turbulent mixing flows (2023)
Attributed to:
Probing Multiscale Complex Multiphase Flows with Positrons for Engineering and Biomedical Applications
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1063/5.0136830
Publication URI: http://dx.doi.org/10.1063/5.0136830
Type: Journal Article/Review
Parent Publication: Physics of Fluids
Issue: 1