Pages that link to "Item:Q6186258"
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The following pages link to On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning (Q6186258):
Displaying 6 items.
- Micromechanics-based deep-learning for composites: challenges and future perspectives (Q6540411) (← links)
- Accelerating structural dynamics simulations with localised phenomena through matrix compression and projection-based model order reduction (Q6557492) (← links)
- Efficient constitutive parameter identification through optimisation-based techniques: a comparative analysis and novel composite Bayesian optimisation strategy (Q6557802) (← links)
- Recurrent neural networks and transfer learning for predicting elasto-plasticity in woven composites (Q6586368) (← links)
- Stretch-based hyperelastic constitutive metamodels via gradient enhanced Gaussian predictors (Q6643567) (← links)
- A composite Bayesian optimisation framework for material and structural design (Q6669038) (← links)
