2022
DOI: 10.48550/arxiv.2203.13760
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JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows

Abstract: Physical systems are governed by partial differential equations (PDEs). The Navier-Stokes equations describe fluid flows and are representative of nonlinear physical systems with complex spatio-temporal interactions. Fluid flows are omnipresent in nature and engineering applications, and their accurate simulation is essential for providing insights into these processes. While PDEs are typically solved with numerical methods, the recent success of machine learning (ML) has shown that ML methods can provide nove… Show more

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Cited by 1 publication
(4 citation statements)
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“…However, this method is mainly directed at controlling fluids directly by solving the governing Navier-Stokes equations, and does not support FSI. Similarly, JAX-FLUIDS [35] developed a level-set method for differentiable fluid simulations in JAX. The work shows various implemented boundary conditions, including immersed boundaries.…”
Section: Related Work a Differentiable Fluid Dynamicsmentioning
confidence: 99%
See 3 more Smart Citations
“…However, this method is mainly directed at controlling fluids directly by solving the governing Navier-Stokes equations, and does not support FSI. Similarly, JAX-FLUIDS [35] developed a level-set method for differentiable fluid simulations in JAX. The work shows various implemented boundary conditions, including immersed boundaries.…”
Section: Related Work a Differentiable Fluid Dynamicsmentioning
confidence: 99%
“…The work shows various implemented boundary conditions, including immersed boundaries. Therefore, FSI can be supported, but has only been extended to static rigid bodies and fluid-fluid interaction, and not yet deformable, moving, or articulated bodies [35].…”
Section: Related Work a Differentiable Fluid Dynamicsmentioning
confidence: 99%
See 2 more Smart Citations