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08/23/2022
How to train your solver: Verification of boundary conditions for smoothed particle hydrodynamics
The weakly compressible smoothed particle hydrodynamics (WCSPH) method h...
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07/01/2022
Anisotropic, Sparse and Interpretable Physics-Informed Neural Networks for PDEs
There has been a growing interest in the use of Deep Neural Networks (DN...
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09/20/2021
How to train your solver: A method of manufactured solutions for weakly-compressible SPH
The Weakly-Compressible Smoothed Particle Hydrodynamics (WCSPH) method i...
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07/25/2021
A new family of second order convergent weakly-compressible SPH schemes
Despite the many advances in the use of weakly-compressible smoothed par...
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07/04/2021
Efficient and Accurate Adaptive Resolution for Weakly-Compressible SPH
In this paper we propose an accurate, and computationally efficient meth...
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02/25/2021
SPINN: Sparse, Physics-based, and Interpretable Neural Networks for PDEs
We introduce a class of Sparse, Physics-based, and Interpretable Neural ...
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10/17/2019
An improved particle packing algorithm for complex geometries in SPH
Accurate simulation of fluid flow in the presence of complex geometries ...
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09/10/2019
PySPH: a Python-based framework for smoothed particle hydrodynamics
PySPH is an open-source, Python-based, framework for particle methods in...
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08/06/2019
Simple Iterative Incompressible Smoothed Particle Hydrodynamics
In this paper a simple, robust, and general purpose approach to implemen...
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12/11/2017