2 papers
physics.ao-ph2026
Machine Learning Based Mesh Movement for Non-Hydrostatic Tsunami Simulation
Yezhang Li, Stephan C. Kramer, Matthew D. Piggott
This study investigates the use of machine learning based mesh movement method, specifically the Universal Mesh Movement Network (UM2N), with depth integrated non-hydrostatic shall…
math.NA2024
Towards Universal Mesh Movement Networks
Mingrui Zhang, Chunyang Wang, Stephan Kramer +5
Solving complex Partial Differential Equations (PDEs) accurately and efficiently is an essential and challenging problem in all scientific and engineering disciplines. Mesh movemen…