By using the UFP combined with a machine learning model for EFG tensors, we can now extend the capabilities of NMR crystallography to make dynamical simulations on microsecond timescales a reality. Using this UFP+ML-EFG model, we will demonstrate how to calculate the relevant ACF of quadrupolar precession frequencies for SAE experiments in the fast ion conductor Li 3 PS 4 (LPS). LPS is the ideal system to study dynamic Li processes as it has both a crystalline ( -LPS) and amorphous (am-LPS) phase which are Li-ion conducting with predicted Li hopping mechanisms in the 10 5 to 10 7 s 1 range . We finally propose to use this method in combination with experimental SAE in order to further study the intermediate glass-ceramic LPS materials, which are known to have large amounts of disorder , as we show that SAE would be highly sensitive to understanding Li-ion motion in these materials on the micro-structural level.