crossrefMachine Learning: Science and Technology2026-07-15
A systematic study of physics-informed neural networks for the level-set interface advection
Muhammad Akbar Khan, Fahim Raees
Abstract We present a systematic ablation study of physics-informed neural networks (PINNs) for level-set advection across four benchmarks: linear translation (TR), solid-body rotation (RO), reversed vortex deformation (RV), and the Zalesak rotating slotted disc (ZD), covering 69…