13 citations · 14 across the 3 of their papers we have counts for
3 papers
physics.comp-ph2025
Statistically controllable microstructure reconstruction framework for heterogeneous materials using sliced-Wasserstein metric and neural networks
Zhenchuan Ma, Qizhi Teng, Pengcheng Yan +4
Heterogeneous porous materials play a crucial role in various engineering systems. Microstructure characterization and reconstruction provide effective means for modeling these mat…
eess.IV2023★ 1 cited
A fast and flexible algorithm for microstructure reconstruction combining simulated annealing and deep learning
Zhenchuan Ma, Xiaohai He, Pengcheng Yan +2
The microstructure analyses of porous media have considerable research value for the study of macroscopic properties. As the premise of conducting these analyses, the accurate reco…
eess.IV2022★ 13 cited
Multiscale reconstruction of porous media based on multiple dictionaries learning
Pengcheng Yan, Qizhi Teng, Xiaohai He +2
Digital modeling of the microstructure is important for studying the physical and transport properties of porous media. Multiscale modeling for porous media can accurately characte…