15 citations · 39 across the 9 of their papers we have counts for
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physics.flu-dyn2020★ 15 cited
Physics-integrated machine learning: embedding a neural network in the Navier-Stokes equations. Part II
Arsen S. Iskhakov, Nam T. Dinh
The work is a continuation of a paper by Iskhakov A.S. and Dinh N.T. "Physics-integrated machine learning: embedding a neural network in the Navier-Stokes equations". Part I // arX…
physics.comp-ph2020★ 15 cited
Physics-integrated machine learning: embedding a neural network in the Navier-Stokes equations. Part I
Arsen S. Iskhakov, Nam T. Dinh
In this paper the physics- (or PDE-) integrated machine learning (ML) framework is investigated. The Navier-Stokes (NS) equations are solved using Tensorflow library for Python via…