A deep learning energy method for hyperelasticity and viscoelasticity. (arXiv:2201.08690v1 [cs.LG])

The potential energy formulation and deep learning are merged to solve
partial differential equations governing the deformation in hyperelastic and
viscoelastic materials. The presented deep energy method (DEM) is
self-contained and meshfree. It can accurately capture the three-dimensional
(3D) mechanical response without requiring any time-consuming training data
generation by classical numerical methods such as the finite element method.
Once the model is appropriately trained, the response can be attained almost
instantly at any point in the physical domain, given its …

arxiv deep learning energy learning