Overview
Scientific machine learning (SciML) is a promising strategy for designing multiphase flow solvers, but it requires a large dataset. This paper presents a comprehensive dataset created from 11,000 simulations, both in 2D and 3D, using the Lattice Boltzmann method~(LBM). The dataset captures intricate physics by varying factors such as surface tension, density, and viscosity of fluids. These simulations, comprising 1 million time snapshots, provide extensive data on two-fluid behavior.… See the full description on the dataset page:
https://huggingface.co/datasets/BGLab/mpf-bench.
