Forward and inverse modeling of water flow in unsaturated soils with discontinuous hydraulic conductivities using physics-informed neural networks with domain decomposition

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  • who: Hydrol. Earth Syst. Sci. and colleagues from the Life and Environmental Science Department, University of California, Merced, CA, USA have published the Article: Forward and inverse modeling of water flow in unsaturated soils with discontinuous hydraulic conductivities using physics-informed neural networks with domain decomposition, in the Journal: (JOURNAL)
  • what: In this study, the one-dimensional RRE without the source term S is studied, which is written as ∂ ∂ψ ∂θ (ψ)=+1. The authors provide the computed analytical solutions and numerical derivations on Bandai and Ghezzehei (2022b), which can be useful to validate other numerical methods. Throughout . . .

     

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