AFT Neural Function Approximators for 1D Nonlinear Force Laws
The approach points toward a reusable library of nonlinear-element surrogates that can be combined in arbitrary number and location within a mechanical system by bypassing the iterative force evaluation in time domain.
Miriam Goldack, Johann Gross, M. Krack et al.
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