2 papers
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…
physics.flu-dyn2023
A moving least square immersed boundary method for SPH with thin-walled structures
ZhuoLin Wang, Zichao Jiang, Yi Zhang +4
This paper presents a novel method for smoothed particle hydrodynamics (SPH) with thin-walled structures. Inspired by the direct forcing immersed boundary method, this method emplo…