67 citations · 79 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2020★ 67 cited
Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations
Christopher J Arthurs, Andrew P King
The goal of this work is to train a neural network which approximates solutions to the Navier-Stokes equations across a region of parameter space, in which the parameters define ph…
physics.comp-ph2019★ 12 cited
Numerical Considerations for Advection-Diffusion Problems in Cardiovascular Hemodynamics
Sabrina R. Lynch, Nitesh Nama, Zelu Xu +3
Numerical simulations of cardiovascular mass transport pose significant challenges due to the wide range of Péclet numbers and backflow at Neumann boundaries. In this paper we pres…