This paper proposes FENNI-PGD, a hybrid surrogate method that combines finite element neural network interpolation with proper generalized decomposition, demonstrated on 1D and 2D linear and nonlinear elasticity benchmarks.
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Finite Element Neural Network Interpolation. Part II: Hybridisation with the Proper Generalised Decomposition for non-linear surrogate modelling
This paper proposes FENNI-PGD, a hybrid surrogate method that combines finite element neural network interpolation with proper generalized decomposition, demonstrated on 1D and 2D linear and nonlinear elasticity benchmarks.