Fig. 8From: Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior\((g_s,t_s)\) data for load path corresponding to \(\theta = 40 \ \mathrm {K}\) and \(\varphi = 0^\circ \): the MD results are illustrated by the colored points, at what the color legend shows the approximated point density (approximated by Gaussian kernel estimators), such that the clustering regions with respect to \(g_s\) and \(t_s\) of the corresponding MD data are visible; the black line depicts the corresponding smoothed MD data based on a Savitzky-Golay filter; the red line depicts the predictions of the trained FFNN1Back to article page