Physics-informed neural networks for solving moving interface flow problems using the level set approach

M Mullins, H Kamil, A Fahsi, A Soulaimani - arxiv preprint arxiv …, 2025 - arxiv.org
This paper advances the use of physics-informed neural networks (PINNs) architectures to
address moving interface problems via the level set method. Originally developed for other …

Self-adaptive weighted physics-informed neural networks for inferring bubble motion in two-phase flow

M Dai, J Tao, Y Zhao, F **ng - Physics of Fluids, 2024 - pubs.aip.org
Modeling complex fluid flow using machine learning is increasingly recognized as a
valuable approach for revealing multiphase fluid phenomena. Bubble dynamics represent a …