Pages that link to "Item:Q2059122"
From MaRDI portal
The following pages link to Data-driven reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation (Q2059122):
Displaying 8 items.
- The mixed deep energy method for resolving concentration features in finite strain hyperelasticity (Q2134762) (← links)
- On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling (Q2136745) (← links)
- A nonlinear data-driven reduced order model for computational homogenization with physics/pattern-guided sampling (Q2175074) (← links)
- Deep global model reduction learning in porous media flow simulation (Q2187913) (← links)
- Poroelastic model parameter identification using artificial neural networks: on the effects of heterogeneous porosity and solid matrix Poisson ratio (Q2205170) (← links)
- A kd-tree-accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data (Q2237269) (← links)
- A normal modes technique to reduce the order of poroelastic models: application to 2D and coupled 3D models (Q2952354) (← links)
- Partial learning using partially explicit discretization for multicontinuum/multiscale problems. Fractured poroelastic media simulation (Q6098958) (← links)
