We present a stochastic deep collocation method (DCM) based on neural architecture
search (NAS) and transfer learning for heterogeneous porous media. We first carry out a …

Geostatistics as a subfield of statistics accounts for the spatial correlations encountered in
many applications of, for example, earth sciences. Valuable information can be extracted …

Stochastic Subsurface Hydrogeology is the study of subsurface, geological heterogeneity,
and its effects on flow and transport process, using probabilistic and geostatistical concepts …

In this study, anisotropic heterogeneous geotechnical fields are characterized using random
field theory, in which five basic patterns of material anisotropy are simulated including …

Rainfall-induced landslides pose a significant threat to the public safety in many parts of the
world especially in tropical or subtropical mountainous areas. The research field of …

The permeability of the Earth's crust commonly varies over many orders of magnitude. Flow
velocity can range over several orders of magnitude in structures of interest that vary in scale …

Transport of tracers subject to mass transfer reactions in single rock fractures is investigated.
A Lagrangian probabilistic model is developed where the mass transfer reactions are …

Based on the combination of the radial basis function network (RBFN) and the
semivariogram, a spatial interpolation method, named improved RBFN, is proposed in this …

The paper deals with the transport of nonreactive solute in heterogeneous formations with
prescribed statistical properties of the hydraulic log conductivity Y= ln K. Available solutions …

The load-carrying capacity of shell structures and shell-like space frames can be sensitive to
initial geometric imperfections. Conventional methods of modeling geometric imperfections …