Pages that link to "Item:Q2237269"
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The following pages link to A kd-tree-accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data (Q2237269):
Displaying 14 items.
- Data-driven reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation (Q2059122) (← links)
- Geometric prior of multi-resolution yielding manifolds and the local closest point projection for nearly non-smooth plasticity (Q2083112) (← links)
- Data driven approach in multiphysics framework: application to coupled electro-mechanical problems (Q2142152) (← links)
- Poroelastic model parameter identification using artificial neural networks: on the effects of heterogeneous porosity and solid matrix Poisson ratio (Q2205170) (← links)
- Asynchronous phase field fracture model for porous media with thermally non-equilibrated constituents (Q2246419) (← links)
- A multiscale multi-permeability poroplasticity model linked by recursive homogenizations and deep learning (Q2310917) (← links)
- Finite element coupled positive definite deep neural networks mechanics system for constitutive modeling of composites (Q2670357) (← links)
- Geometric learning for computational mechanics. II: Graph embedding for interpretable multiscale plasticity (Q2678490) (← links)
- Distance-preserving manifold denoising for data-driven mechanics (Q2683440) (← links)
- Molecular dynamics inferred transfer learning models for finite‐strain hyperelasticity of monoclinic crystals: Sobolev training and validations against physical constraints (Q6070057) (← links)
- Geometric learning for computational mechanics. III: Physics-constrained response surface of geometrically nonlinear shells (Q6096461) (← links)
- Partial learning using partially explicit discretization for multicontinuum/multiscale problems. Fractured poroelastic media simulation (Q6098958) (← links)
- Efficient multiscale modeling of heterogeneous materials using deep neural networks (Q6159331) (← links)
- Quantum computing enhanced distance-minimizing data-driven computational mechanics (Q6185236) (← links)
