The Q 1 case is, however, fortunate in that despite the poor isotropic shift prediction, the remaining 5 parameters all show good correlation. Overall, the MatTEN model is able to learn to predict the tensor of silicates with the best performance being on sites with high symmetry, as summarized in Table . Even in cases where the model struggles with isotropic shift or tensor orientation, the shape of the tensor is well predicted.