most citedA single Long Short-Term Memory network for enhancing the prediction of path-dependent plasticity with material heterogeneity and anisotropy

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cond-mat.dis-nn2022★ 6 cited

A single Long Short-Term Memory network for enhancing the prediction of path-dependent plasticity with material heterogeneity and anisotropy

Ehsan Motevali Haghighi, SeonHong Na

This study presents the applicability of conventional deep recurrent neural networks (RNN) to predict path-dependent plasticity associated with material heterogeneity and anisotrop…