Dimensionless energy graph network with hard boundary embedding and finite element interpolation: Unsupervised variational solution framework for linear elastic and hyperelastic problems
Neural solvers for solid mechanics still face challenges related to loss-term balancing, representation on complex unstructured meshes, enforcement of essential boundary conditions, and scale sensitivity in energy-based optimization. This work proposes HiDEG-Net, a dimensionless energy graph network with hard boundary...
Shun Liu, 强洪夫, Tingjing Geng et al.
· Computer Methods in Applied... · 0 citations