Keywords
Navier–Stokes equationsCompressibilityFlow (mathematics)PhysicsArtificial neural networkPressure-correction methodIncompressible flowHagen–Poiseuille flow from the Navier–Stokes equationsMechanicsApplied mathematicsClassical mechanicsMathematicsComputer scienceArtificial intelligence
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Publication Info
- Year
- 2020
- Type
- article
- Volume
- 426
- Pages
- 109951-109951
- Citations
- 992
- Access
- Closed
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Cite This
Xiaowei Jin,
Shengze Cai,
Hui Li
et al.
(2020).
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations.
Journal of Computational Physics
, 426
, 109951-109951.
https://doi.org/10.1016/j.jcp.2020.109951
Identifiers
- DOI
- 10.1016/j.jcp.2020.109951