Search Results for author: John K. Eaton

Found 3 papers, 2 papers with code

Comparison of Immersed Boundary Simulations of Heart Valve Hemodynamics against In Vitro 4D Flow MRI Data

1 code implementation1 Nov 2021 Alexander D. Kaiser, Nicole K. Schiavone, Christopher J. Elkins, Doff B. McElhinney, John K. Eaton, Alison L. Marsden

In this work, we performed physical experiments of flow through a pulmonary valve in an in vitro pulse duplicator, and measured the corresponding velocity field using 4D flow MRI (4-dimensional flow magnetic resonance imaging).

Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling

1 code implementation14 Jan 2020 Pedro M. Milani, Julia Ling, John K. Eaton

This approach uses a deep neural network with embedded coordinate frame invariance to predict a tensorial turbulent diffusivity that is not explicitly available in the high fidelity data used for training.

Generalization of machine-learned turbulent heat flux models applied to film cooling flows

no code implementations7 Oct 2019 Pedro M. Milani, Julia Ling, John K. Eaton

The design of film cooling systems relies heavily on Reynolds-Averaged Navier-Stokes (RANS) simulations, which solve for mean quantities and model all turbulent scales.

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