Diffusion-Inversion-Net (DIN): An End-to-End Direct Probabilistic Framework for Characterizing Hydraulic Conductivities and Quantifying Uncertainty

Diffusion-Inversion-Net (DIN) is a deep learning framework for probabilistic inversion of groundwater flow and solute transport processes. It utilizes diffusion models as geological priors and directly generates posterior parameter ensembles without iterative forward simulations.