most citedParameter identification for a damage model using a physics informed neural network

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2021★ 2 cited

Parameter identification for a damage model using a physics informed neural network

Carlos J. G. Rojas, Marco L. Bitterncourt, José L. Boldrini

This work applies concepts of artificial neural networks to identify the parameters of a mathematical model based on phase fields for damage and fracture. Damage mechanics is the p…