2 citations · 3 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2024★ 1 cited
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
Artur P. Toshev, Harish Ramachandran, Jonas A. Erbesdobler +3
Particle-based fluid simulations have emerged as a powerful tool for solving the Navier-Stokes equations, especially in cases that include intricate physics and free surfaces. The…
physics.flu-dyn2024★ 2 cited
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
Artur P. Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams +1
Smoothed particle hydrodynamics (SPH) is omnipresent in modern engineering and scientific disciplines. SPH is a class of Lagrangian schemes that discretize fluid dynamics via finit…