A decomposition-based robust training of physics-informed neural networks for nearly incompressible linear elasticity

Josef Dick, Seungchan Ko, Quoc Thong Le Gia +2

Due to divergence instability, the accuracy of low-order conforming finite element methods for nearly incompressible elasticity equations deteriorates as the Lamé coefficient $λ\to…