most citedPhysically recurrent neural network for rate and path-dependent heterogeneous materials in a finite strain framework

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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…

math.NA2024

Physically Recurrent Neural Networks for Computational Homogenization of Composite Materials with Microscale Debonding

N. Kovács, M. A. Maia, I. B. C. M. Rocha +3

The growing use of composite materials in engineering applications has accelerated the demand for computational methods to accurately predict their complex behavior. Multiscale mod…