2 papers
cs.LG2025
Dynamic Reconstruction of Ultrasound-Derived Flow Fields With Physics-Informed Neural Fields
Viraj Patel, Lisa Kreusser, Katharine Fraser
Blood flow is sensitive to disease and provides insight into cardiac function, making flow field analysis valuable for diagnosis. However, while safer than radiation-based imaging…
physics.flu-dyn2025
Physics-constrained DeepONet for Surrogate CFD models: a curved backward-facing step case
Anas Jnini, Harshinee Goordoyal, Sujal Dave +3
The Physics-Constrained DeepONet (PC-DeepONet), an architecture that incorporates fundamental physics knowledge into the data-driven DeepONet model, is presented in this study. Thi…