Nikolaus A. Adams — accepted AI-conference papers

2024

Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics

Artur Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter

ICML 2024poster

Smoothed particle hydrodynamics (SPH) is omnipresent in modern engineering and scientific disciplines. SPH is a class of Lagrangian schemes that discretize fluid dynamics via finite material points that are tracked through the evolving velocity field. Due to the particle-like nature of the simulatio…

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2023

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

Artur Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus A. Adams

NeurIPS 2023poster

Machine learning has been successfully applied to grid-based PDE modeling in various scientific applications. However, learned PDE solvers based on Lagrangian particle discretizations, which are the preferred approach to problems with free surfaces or complex physics, remain largely unexplored. We p…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗