Physics-Informed Neural Networks for solving transient unconfined groundwater flow

Author:

Secci DanieleORCID,A. Godoy VanessaORCID,Gómez-Hernández J. JaimeORCID

Funder

Partnership for Research and Innovation in the Mediterranean Area

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference33 articles.

1. Prediction of porous media fluid flow using physics informed neural networks;Almajid;J. Pet. Sci. Eng.,2022

2. A review of surrogate models and their application to groundwater modeling;Asher;Water Resour. Res.,2015

3. Hydrologic similarity based on width function and hypsometry: An unsupervised learning approach;Bajracharya;Comput. Geosci.,2022

4. Hydraulics of Groundwater;Bear,2012

5. Pinneik: Eikonal solution using physics-informed neural networks;bin Waheed;Comput. Geosci.,2021

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