Search Results for author: Eric Paterson

Found 2 papers, 1 papers with code

Data-Driven, Physics-Based Feature Extraction from Fluid Flow Fields

no code implementations2 Feb 2018 Carlos Michelén Ströfer, Jinlong Wu, Heng Xiao, Eric Paterson

These methods are based on a physical understanding of the underlying behavior of the flow in the vicinity of the feature.

Fluid Dynamics

Physics-Informed Machine Learning Approach for Augmenting Turbulence Models: A Comprehensive Framework

1 code implementation9 Jan 2018 Jin-Long Wu, Heng Xiao, Eric Paterson

To this end, we present a comprehensive framework for augmenting turbulence models with physics-informed machine learning, illustrating a complete workflow from identification of input features to final prediction of mean velocities.

Fluid Dynamics 76F99

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