most citedOn the use of graph neural networks and shape-function-based gradient computation in the deep energy method

48 citations · 48 across the 1 of their papers we have counts for

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1 paper

cs.CE2022★ 48 cited

On the use of graph neural networks and shape-function-based gradient computation in the deep energy method

Junyan He, Diab Abueidda, Seid Koric +1

A graph neural network (GCN) is employed in the deep energy method (DEM) model to solve the momentum balance equation in 3D for the deformation of linear elastic and hyperelastic m…