Data for "Predictions of multiphase flow in porous media using conditional generative adversarial networks (cGANs)"
收藏Figshare2022-09-12 更新2026-04-08 收录
下载链接：
https://figshare.com/articles/dataset/Data_for_Predictions_of_multiphase_flow_in_porous_media_using_conditional_generative_adversarial_networks_cGANs_/19532131/1
下载链接
链接失效反馈官方服务：
资源简介：
The data set contains the invasion morphologies at percolation of quasi-static fluid-fluid displacement processes for different contact angles and particle shapes.<br>Simulations are generated using the interface tracking algorithm, which are then binarized into 256x256 size images. These images are used to train the cGAN network for predicting multiphase flow. See the manuscript for more detial.<br>File name "ITA_XXX_CAYYY.mat" represents the data set for porous media with particle shape "XXX" with contact angle "YYY". Files can be opened by MATLAB. Each data contains 5000 pairs of data, with have been divided into two parts, i.e., 4000 pairs for training, and 1000 pairs for test.
提供机构：
Gan, Yixiang; Wang, Zhongzheng; Sauret, Emilie; Jeong, Hyogu; Gu, Yuantong; Pereira, Jean-Michel
创建时间：
2022-04-07
