APA (7th ed.) Citation

Jin, X., Cai, S., Li, H., & Karniadakis, G. E. (2021). NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations. Journal of computational physics, 426(C), 109951. https://doi.org/10.1016/j.jcp.2020.109951

Chicago Style (17th ed.) Citation

Jin, Xiaowei, Shengze Cai, Hui Li, and George Em Karniadakis. "NSFnets (Navier-Stokes Flow Nets): Physics-informed Neural Networks for the Incompressible Navier-Stokes Equations." Journal of Computational Physics 426, no. C (2021): 109951. https://doi.org/10.1016/j.jcp.2020.109951.

MLA (9th ed.) Citation

Jin, Xiaowei, et al. "NSFnets (Navier-Stokes Flow Nets): Physics-informed Neural Networks for the Incompressible Navier-Stokes Equations." Journal of Computational Physics, vol. 426, no. C, 2021, p. 109951, https://doi.org/10.1016/j.jcp.2020.109951.

Warning: These citations may not always be 100% accurate.