output
20232025
most citedRevisiting Tensor Basis Neural Networks for Reynolds stress modeling: application to plane channel and square duct flows

16 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2024Show all

4 papers · 1 filter

math.NA2024

Cycle-Free Polytopal Mesh Sweeping for Boltzmann Transport

Ansar Calloo, Matthew Evans, Henry Lockyer +3

We introduce a novel property of bounded Voronoi tessellations that enables cycle-free mesh sweeping algorithms. We prove that a topological sort of the dual graph of any Voronoi t…

math.NA2024★ 3 cited

A short perspective on a posteriori error control and adaptive discretizations

Roland Becker, Stéphane P. A. Bordas, Franz Chouly +1

Error control by means of a posteriori error estimators or indica-tors and adaptive discretizations, such as adaptive mesh refinement, have emerged in the late seventies. Since the…

physics.flu-dyn2024★ 16 cited

Revisiting Tensor Basis Neural Networks for Reynolds stress modeling: application to plane channel and square duct flows

Jiayi Cai, Pierre-Emmanuel Angeli, Jean-Marc Martinez +2

Several Tensor Basis Neural Network (TBNN) frameworks aimed at enhancing turbulence RANS modeling have recently been proposed in the literature as data-driven constitutive models f…

physics.flu-dyn2024★ 4 cited

A unified two-scale gas-liquid multi-fluid model with capillarity and interface regularization through a mass transfer between scales

Arthur Loison, Samuel Kokh, Teddy Pichard +1

In this contribution, we derive a gas-liquid two-scale multi-fluid model with capillarity effects to enable a novelinterface regularization approach for multi-fluid models. As this…