Natural gas hydrates (NGHs), which extensively exist in sea-floor and permafrost regions,
are considered as an alternative energy in the future for the fossil fuels approaching …

The leaking from underground storage and surface spills of various hydrocarbon sources
has caused the hazardous subsurface contamination. The toxic compounds of chemicals …

We present a physics‐informed deep neural network (DNN) method for estimating hydraulic
conductivity in saturated and unsaturated flows governed by Darcy's law. For saturated flow …

Data assimilation for parameter and state estimation in subsurface transport problems
remains a significant challenge because of the sparsity of measurements, the heterogeneity …

We present a deep learning framework for quantifying and propagating uncertainty in
systems governed by non-linear differential equations using physics-informed neural …

We propose a discretization‐free approach based on the physics‐informed neural network
(PINN) method for solving the coupled advection‐dispersion equation (ADE) and Darcy flow …

We present a physics informed deep neural network (DNN) method for estimating
parameters and unknown physics (constitutive relationships) in partial differential equation …

We review the current status of modeling multiphase systems, including balance equation
formulation, constitutive relations for both pressure-saturation-conductivity and interphase …

Subsurface contamination by organic chemicals is a pervasive environmental problem,
susceptible to remediation by natural or enhanced attenuation approaches or more highly …

Vadose Zone Processes provides a unified, up-to-date treatment on the movement of water
through unsaturated media. In addition to covering the basic equations governing the flow …