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Found 3 papers, 1 papers with code
High--order discontinuous Galerkin approximation for a three--phase incompressible Navier--Stokes/Cahn--Hilliard model
The three--phase model adopted in this work is a Cahn--Hilliard diffuse interface model, which was derived by Boyer and Lapuerta et al. 2006.
Numerical Analysis Numerical Analysis
A reinforcement learning strategy for p-adaptation in high order solvers
We discuss the impact of RL-based mesh p-adaptation on computational efficiency and accuracy.
An unsupervised machine-learning-based shock sensor for high-order supersonic flow solvers
We present a novel unsupervised machine-learning sock sensor based on Gaussian Mixture Models (GMMs).
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