Inverse analysis of soil hydraulic parameters of layered soil profiles using physics‐informed neural networks with unsaturated water flow models

Abstract Information about the spatial distribution of soil hydraulic parameters is necessary for the accurate prediction of soil water flow and the coupled movement of chemicals and heat at the field scale using a process‐based model. Physics‐informed neural networks (PINNs), which can provide phys...

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Bibliographic Details
Main Authors: Koki Oikawa, Hirotaka Saito
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Vadose Zone Journal
Online Access:https://doi.org/10.1002/vzj2.20375
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