Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil

Journal of Fluids and Structures (J. Fluids Struct.), 2023

23 June 2023

Papers citing "Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil"

3 / 3 papers shown

Title
Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods Afrah Farea Saiful Khan Reza Daryani Emre Cenk Ersan Mustafa Serdar Celebi AI4CE 232 1 0 24 May 2025
SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networks Ashish S. Nair Amanda A. Howard P. Stinis 178 9 0 09 Nov 2024
Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients Rahul Sundar Didier Lucor Sunetra Sarkar AI4CE 120 0 0 27 Feb 2024