Pages that link to "Item:Q2679302"
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The following pages link to Machine learning-enabled self-consistent parametrically-upscaled crystal plasticity model for Ni-based superalloys (Q2679302):
Displaying 7 items.
- Concurrent multiscale modeling of microstructural effects on localization behavior in finite deformation solid mechanics (Q1753919) (← links)
- Model-driven identification framework for optimal constitutive modeling from kinematics and rheological arrangement (Q6096450) (← links)
- A machine-learning aided multiscale homogenization model for crystal plasticity: application for face-centered cubic single crystals (Q6159320) (← links)
- Neural cellular automata for solidification microstructure modelling (Q6171252) (← links)
- A general framework of high-performance machine learning algorithms: application in structural mechanics (Q6540749) (← links)
- Microstructurally-informed stochastic inhomogeneity of material properties and material symmetries in 3D-printed 316 L stainless steel (Q6584864) (← links)
- Learning solutions of thermodynamics-based nonlinear constitutive material models using physics-informed neural networks (Q6604129) (← links)
