RANS

A paradigm for data-driven predictive modeling using field inversion and machine learning

We propose a modeling paradigm, termed field inversion and machine learning (FIML), that seeks to comprehensively harness data from sources such as high-fidelity simulations and experiments to aid the creation of improved closure models for …