Physics-informed neural networks for dense reconstruction of vortex rings from particle tracking velocimetry.

MLA

Steinfurth, B., et al. “Physics-Informed Neural Networks for Dense Reconstruction of Vortex Rings from Particle Tracking Velocimetry.” Physics of Fluids, vol. 36, no. 9, Sept. 2024, pp. 1–17. EBSCOhost, https://doi.org/10.1063/5.0212585.

APA

Steinfurth, B., Hassanein, A., Doan, N. A. K., & Scarano, F. (2024). Physics-informed neural networks for dense reconstruction of vortex rings from particle tracking velocimetry. Physics of Fluids, 36(9), 1–17. https://doi.org/10.1063/5.0212585

Chicago

Steinfurth, B., A. Hassanein, N. A. K. Doan, and F. Scarano. 2024. “Physics-Informed Neural Networks for Dense Reconstruction of Vortex Rings from Particle Tracking Velocimetry.” Physics of Fluids 36 (9): 1–17. doi:10.1063/5.0212585.