Pages that link to "Item:Q2160409"
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The following pages link to Microstructure-guided deep material network for rapid nonlinear material modeling and uncertainty quantification (Q2160409):
Displaying 8 items.
- Exploring the 3D architectures of deep material network in data-driven multiscale mechanics (Q2064793) (← links)
- Interaction-based material network: a general framework for (porous) microstructured materials (Q2072441) (← links)
- Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method: extension to geometrical parameterizations (Q2096859) (← links)
- Micromechanics-based material networks revisited from the interaction viewpoint; robust and efficient implementation for multi-phase composites (Q2236305) (← links)
- Deep autoencoders for physics-constrained data-driven nonlinear materials modeling (Q2237774) (← links)
- Hierarchical reconstruction of 3D well-connected porous media from 2D exemplars using statistics-informed neural network (Q6094706) (← links)
- Micromechanics-informed parametric deep material network for physics behavior prediction of heterogeneous materials with a varying morphology (Q6144640) (← links)
- A micromechanical mean‐field homogenization surrogate for the stochastic multiscale analysis of composite materials failure (Q6148530) (← links)
