35 citations · 165 across the 18 of their papers we have counts for
3 papers · 1 filter
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Jiachen Yang, Ketan Mittal, Tarik Dzanic +5
Adaptive mesh refinement (AMR) is necessary for efficient finite element simulations of complex physical phenomenon, as it allocates limited computational budget based on the need…
High-Order Mesh Morphing for Boundary and Interface Fitting to Implicit Geometries
Jorge-Luis Barrera, Tzanio Kolev, Ketan Mittal +1
We propose a method that morphs high-orger meshes such that their boundaries and interfaces coincide/align with implicitly defined geometries. Our focus is particularly on the case…
Accelerating High-Order Mesh Optimization Using Finite Element Partial Assembly on GPUs
Jean-Sylvain Camier, Veselin Dobrev, Patrick Knupp +4
In this paper we present a new GPU-oriented mesh optimization method based on high-order finite elements. Our approach relies on node movement with fixed topology, through the Targ…