Pages that link to "Item:Q2160432"
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The following pages link to Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties (Q2160432):
Displaying 17 items.
- Bayesian-EUCLID (Q1333889) (← links)
- Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials (Q1668783) (← links)
- Unsupervised discovery of interpretable hyperelastic constitutive laws (Q2237006) (← links)
- Bayesian approach for recovering piecewise constant viscoelasticity from MRE data (Q2300552) (← links)
- Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues (Q2678528) (← links)
- Automated discovery of generalized standard material models with EUCLID (Q2683452) (← links)
- INFERENCE AND UNCERTAINTY PROPAGATION OF ATOMISTICALLY-INFORMED CONTINUUM CONSTITUTIVE LAWS, PART 1: BAYESIAN INFERENCE OF FIXED MODEL FORMS (Q5045420) (← links)
- INFERENCE AND UNCERTAINTY PROPAGATION OF ATOMISTICALLY INFORMED CONTINUUM CONSTITUTIVE LAWS, PART 2: GENERALIZED CONTINUUM MODELS BASED ON GAUSSIAN PROCESSES (Q5045421) (← links)
- Incompressible rubber thermoelasticity: a neural network approach (Q6101617) (← links)
- Discovering stochastic partial differential equations from limited data using variational Bayes inference (Q6118584) (← links)
- Using spherical indentation to determine creep behavior with considering empirical friction coefficient (Q6540463) (← links)
- Data-driven discovery of interpretable Lagrangian of stochastically excited dynamical systems (Q6557792) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
- Stretch-based hyperelastic constitutive metamodels via gradient enhanced Gaussian predictors (Q6643567) (← links)
- Uncertainty quantification of 3D acoustic shape sensitivities with generalized \(n\)th-order perturbation boundary element methods (Q6663261) (← links)
- A Bayesian framework for constitutive model identification via use of full field measurements, with application to heterogeneous materials (Q6663299) (← links)
- Discovering uncertainty: Bayesian constitutive artificial neural networks (Q6663336) (← links)
