Pages that link to "Item:Q2309395"
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The following pages link to Deep material network with cohesive layers: multi-stage training and interfacial failure analysis (Q2309395):
Displaying 21 items.
- A deep material network for multiscale topology learning and accelerated nonlinear modeling of heterogeneous materials (Q1986850) (← links)
- Meta-modeling game for deriving theory-consistent, microstructure-based traction-separation laws via deep reinforcement learning (Q1986877) (← links)
- A GFEM-based reduced-order homogenization model for heterogeneous materials under volumetric and interfacial damage (Q2021955) (← links)
- 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)
- Application of general regression neural network in identifying interfacial parameters under mixed-mode fracture (Q2083815) (← links)
- An FE-DMN method for the multiscale analysis of thermomechanical composites (Q2133887) (← links)
- Graph neural networks for simulating crack coalescence and propagation in brittle materials (Q2142205) (← links)
- A data-driven approach to full-field nonlinear stress distribution and failure pattern prediction in composites using deep learning (Q2145129) (← links)
- Microstructure-guided deep material network for rapid nonlinear material modeling and uncertainty quantification (Q2160409) (← links)
- Micromechanics-based material networks revisited from the interaction viewpoint; robust and efficient implementation for multi-phase composites (Q2236305) (← links)
- Cell division in deep material networks applied to multiscale strain localization modeling (Q2237423) (← links)
- An FE-DMN method for the multiscale analysis of short fiber reinforced plastic components (Q2237450) (← links)
- Large-deformation reduced order homogenization of polycrystalline materials (Q2246352) (← links)
- Transfer learning of deep material network for seamless structure-property predictions (Q2319403) (← links)
- Physics-informed machine learning for surrogate modeling of wind pressure and optimization of pressure sensor placement (Q6044216) (← links)
- Reduced order mathematical homogenization method for polycrystalline microstructure with microstructurally small cracks (Q6091394) (← links)
- Proper orthogonal decomposition assisted eigendeformation-based mathematical homogenization method for modeling cracks in 3D polycrystalline microstructures (Q6118574) (← links)
- Micromechanics-informed parametric deep material network for physics behavior prediction of heterogeneous materials with a varying morphology (Q6144640) (← links)
- Adaptive spatiotemporal dimension reduction in concurrent multiscale damage analysis (Q6159317) (← links)
- Deep material network for thermal conductivity problems: application to woven composites (Q6609793) (← links)
