35 citations · 163 across the 8 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
math.NA2022★ 23 cited
Prediction of numerical homogenization using deep learning for the Richards equation
Sergei Stepanov, Denis Spiridonov, Tina Mai
For the nonlinear Richards equation as an unsaturated flow through heterogeneous media, we build a new coarse-scale approximation algorithm utilizing numerical homogenization. This…
math.NA2022★ 8 cited
Constraint Energy Minimizing Generalized Multiscale Finite Element Method for multi-continuum Richards equations
Tina Mai, Siu Wun Cheung, Jun Sur Richard Park
In fluid flow simulation, the multi-continuum model is a useful strategy. When the heterogeneity and contrast of coefficients are high, the system becomes multiscale, and some kind…