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20192022
most citedPhysics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport

396 citations · 634 across the 6 of their papers we have counts for

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physics.flu-dyn2020★ 147 cited

Physics-Informed Neural Network Method for Forward and Backward Advection-Dispersion Equations

QiZhi He, Alexandre M. Tartakovsky

We propose a discretization-free approach based on the physics-informed neural network (PINN) method for solving coupled advection-dispersion and Darcy flow equations with space-de…