no code implementations • 29 Sep 2023 • Kai Weixian Lan, Elias Gueidon, Ayano Kaneda, Julian Panetta, Joseph Teran
The core of our solver is a neural network trained to approximate the inverse of a discrete structured-grid Laplace operator for a domain of arbitrary shape and with mixed boundary conditions.
no code implementations • 29 Jan 2021 • Jingyu Chen, Victoria Kala, Alan Marquez-Razon, Elias Gueidon, David A. B. Hyde, Joseph Teran
We present a novel Material Point Method (MPM) discretization of surface tension forces that arise from spatially varying surface energies.
Graphics Computational Engineering, Finance, and Science I.3.0; I.6.0
