2 papers
physics.flu-dyn2025
Multiscale super-resolution reconstruction of fluid flows with deep neural networks
Gengchao Yang, Renyu Luo, Qinghe Yao +2
We present a novel multiscale super-resolution framework (SRLBM) that applies deep learning directly to the mesoscopic density distribution functions of the lattice Boltzmann metho…
physics.comp-ph2024
A CNN-based particle tracking method for large-scale fluid simulations with Lagrangian-Eulerian approaches
Xuan Luo, Zichao Jiang, Yi Zhang +4
A novel particle tracking method based on a convolutional neural network (CNN) is proposed to improve the efficiency of Lagrangian-Eulerian (L-E) approaches. Relying on the success…