Multi-Field Reconstruction with Physics-Informed Neural Networks (MFR_PINN)

(+ Enhancing PINN-Based Flow Reconstruction with Sparse and Decoupled Gradient-Weighted Sensor Placement)

Any use of this work must cite the articles:

D. Gomes, A. Espírito Santo, and J. Páscoa, “A Sparse and Decoupled Supervision Framework for Multi-Field Reconstruction in Turbulent Flows Using Physics-Informed Neural Networks” Physics of Fluids 2025 https://pubs.aip.org/aip/pof/article-abstract/37/7/075113/3351672/A-sparse-and-decoupled-supervision-framework-for

D. Gomes, A. Espírito Santo, and J. Páscoa, “Enhancing PINN-Based Flow Reconstruction with Sparse and Decoupled Gradient-Weighted Sensor Placement” IECON 2025 (ACCEPTED)