Pages that link to "Item:Q2237483"
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The following pages link to Machine learning acceleration for nonlinear solvers applied to multiphase porous media flow (Q2237483):
Displaying 9 items.
- Acceleration of thermodynamic computations in fluid flow applications (Q2130941) (← links)
- Residual-based adaptivity for two-phase flow simulation in porous media using physics-informed neural networks (Q2156788) (← links)
- Accelerating flash calculation through deep learning methods (Q2222279) (← links)
- Machine learning for accelerating macroscopic parameters prediction for poroelasticity problem in stochastic media (Q2226818) (← links)
- A macroscopic model for immiscible two-phase flow in porous media (Q5089792) (← links)
- A machine-learning-accelerated distributed LBFGS method for field development optimization: algorithm, validation, and applications (Q6074257) (← links)
- Fast heat transfer simulation for laser powder bed fusion (Q6155688) (← links)
- Automated linear solver selection for simulation of multiphysics processes in porous media (Q6550170) (← links)
- Choice of interior penalty coefficient for interior penalty discontinuous Galerkin method for Biot's system by employing machine learning (Q6648523) (← links)
