Guangjiang Zhang

A hierarchical physics-enhanced neural network based ensemble learning for finite element modeling of granular materials

The application of classical neural networks based surrogate models to implicit finite element modeling of boundary value problems is limited by numerical stability issues stemming from their inherent strong nonlinearity and smoothness characteristics. To overcome this limitation...