Pages that link to "Item:Q2132604"
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The following pages link to A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media (Q2132604):
Displaying 4 items.
- A surrogate model for the prediction of permeabilities and flow through porous media: a machine learning approach based on stochastic Brownian motion (Q6044223) (← links)
- Incremental neural controlled differential equations for modeling of path-dependent material behavior (Q6125468) (← links)
- Data driven adaptive Gaussian mixture model for solving Fokker-Planck equation (Q6560605) (← links)
- On physics-informed neural networks training for coupled hydro-poromechanical problems (Q6615008) (← links)
