Mao-Sheng Yin

Variational autoencoder-least squares generative adversarial Network (VA-LSGAN): a latent-space parameterization framework linking three-dimensional aquifer heterogeneity characterization and perfluorooctanoic acid (PFOA) inverse modeling

Accurate characterization of three-dimensional aquifer heterogeneity is essential for contaminant transport modeling, yet direct inversion of grid-scale hydraulic conductivity fields is often ill-posed and computationally expensive. This study proposes a variational autoencoder-least squares generative adversarial netw...