Sparse regression for discovery of constitutive models from oscillatory shear measurements
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DOI: 10.1063/5.0233607
Abstract: We propose sparse regression as an alternative to neural networks for the discovery of parsimonious constitutive models (CMs) from oscillatory shear experiments. Symmetry and frame invariance are strictly imposed by using tensor basis functions to… read more here.
Keywords: regression discovery; constitutive models; oscillatory shear; discovery constitutive ... See more keywords