most citedPhysically recurrent neural networks for path-dependent heterogeneous materials: embedding constitutive models in a data-driven surrogate

81 citations · 81 across the 1 of their papers we have counts for

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math.NA2022★ 81 cited

Physically recurrent neural networks for path-dependent heterogeneous materials: embedding constitutive models in a data-driven surrogate

M. A. Maia, I. B. C. M. Rocha, P. Kerfriden +1

Driven by the need to accelerate numerical simulations, the use of machine learning techniques is rapidly growing in the field of computational solid mechanics. Their application i…