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Fuhg, J.N
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On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling
by
Bouklas, N.
,
Fuhg
,
J.N
Published 2022
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Related Subjects
Anisotropy
Constitutive models
Data driven
Data-driven constitutive model
Data-driven constitutive models
Elasticity
Finite strain
Gaussian process regression
Hyper-elasticity
Hyperelasticity
Isotropics
Machine learning
Neural networks
Physic-informed machine learning
Physics-informed machine learning
Probabilistics
Simulated annealing
Solid mechanics
Space filling
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