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Title:

JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Toshev, Artur; Ramachandran, Harish; Erbesdobler, Jonas A.; Galletti, Gianluca; Brandstetter, Johannes; Adams, Nikolaus A.
Abstract:
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 recent addition of machine learning methods to the toolbox for solving such problems is pushing the boundary of the quality vs. speed tradeoff of such numerical simulations. In this work, we lead the way to Lagrangian fluid simulators compatible with deep learning frameworks, and propose JAX-SPH - a Smoothed Particle H...     »
Keywords:
Smoothed Particle Hydrodynamics, JAX, Lagrangian Simulations, Differentiable Solver
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Book / Congress title:
ICLR 2024 Workshop on AI4DifferentialEquations In Science
Year:
2024
Language:
en
WWW:
https://openreview.net/forum?id=8X5PXVmsHW
TUM Institution:
Lehrstuhl für Aerodynamik und Strömungsmechanik
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