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20222026
most citedPhysically recurrent neural networks for path-dependent heterogeneous materials: embedding constitutive models in a data-driven surrogate

81 citations · 86 across the 5 of their papers we have counts for

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2 papers · 1 filter

physics.comp-ph2025★ 3 cited

Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks

Ehsan Ghane, Marina A. Maia, Iuri B. C. M. Rocha +2

Multiscale homogenization of woven composites requires detailed micromechanical evaluations, leading to high computational costs. Data-driven surrogate models based on neural netwo…

math.NA2025★ 1 cited

Surrogate-based multiscale analysis of experiments on thermoplastic composites under off-axis loading

M. A. Maia, I. B. C. M. Rocha, D. Kovačević +1

In this paper, we present a surrogate-based multiscale approach to model constant strain-rate and creep experiments on unidirectional thermoplastic composites under off-axis loadin…