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Cited article:

diffSPH: Differentiable Smoothed Particle Hydrodynamics for Hybrid Machine Learning Solutions in Fluid Mechanics

Rene Winchenbach and Nils Thuerey
Journal of Computational Physics 114769 (2026)
https://doi.org/10.1016/j.jcp.2026.114769

Optimized smoothing kernels for smoothed particle hydrodynamics

Robert Wissing, Thomas Quinn, Ben Keller, James Wadsley and Sijing Shen
Astronomy & Astrophysics 706 A73 (2026)
https://doi.org/10.1051/0004-6361/202556909

Mixing Sinc kernels to improve interpolations in smoothed particle hydrodynamics without pairing instability

Rubén M Cabezón and Domingo García-Senz
Monthly Notices of the Royal Astronomical Society 528 (2) 3782 (2024)
https://doi.org/10.1093/mnras/stae216

Parallel adaptive weakly-compressible SPH for complex moving geometries

Asmelash Haftu, Abhinav Muta and Prabhu Ramachandran
Computer Physics Communications 277 108377 (2022)
https://doi.org/10.1016/j.cpc.2022.108377

Phantom: A Smoothed Particle Hydrodynamics and Magnetohydrodynamics Code for Astrophysics

Daniel J. Price, James Wurster, Terrence S. Tricco, et al.
Publications of the Astronomical Society of Australia 35 (2018)
https://doi.org/10.1017/pasa.2018.25

AN ADVANCED LEAKAGE SCHEME FOR NEUTRINO TREATMENT IN ASTROPHYSICAL SIMULATIONS

A. Perego, R. M. Cabezón and R. Käppeli
The Astrophysical Journal Supplement Series 223 (2) 22 (2016)
https://doi.org/10.3847/0067-0049/223/2/22