JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows

Understand

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 novel avenues of finding solutions to PDEs.