Author

Xin-Yu Zhang

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Open access Sep 2026

Simulation-Driven Machine Learning for Rapid Prediction of Shale-Gas Apparent Permeability Based on Lattice Boltzmann Pore-Scale Simulations

Accurate and efficient prediction of shale-gas apparent permeability is essential for pore-scale flow analysis and reservoir evaluation. This study develops a simulation-driven machine learning framework combining controllable pore reconstruction, pore-scale lattice Boltzmann method (LBM) simulations, and neural networ...

Yun-Ye Liu, Qin Xu, B. He et al. · Energies · 0 citations

Sep 2026

A fast prediction approach for airfoil flow field based on the deep neural network framework

A rapid aerodynamic prediction framework, termed ParaAero-Net, is proposed for low-Mach-number two-dimensional airfoils under small-sample conditions. Unlike conventional data-driven approaches that focus only on either flow-field reconstruction or aerodynamic coefficient prediction, ParaAero-Net integrates geometry-aw...

Jun-Qiao Wang, Chen Liu, Xu Zhan et al. · Proceedings of the Instituti... · 0 citations