Fig. 10
From: Designing Ti-6Al-4V microstructure for strain delocalization using neural networks
Distribution of three localization-based material properties for 360 datapoints from our initial dataset, as well as three datapoints (indicated by yellow stars) obtained from micromechanical simulations on optimal solutions predicted by the data-driven optimization scheme. The set of microstructural features including texture, grain aspect ratio (AR), average grain size (\(ESD_{ave}\)), and standard deviation (\(\sigma\)) that optimize SR, \(\text {E}_{\text {inSB}}\), and \(\text {d}_{\text {H}}\) are [A, 30, 21, 0.001], [F, 28, 52.5, 0.86], and [C, 30, 5, 0.02], respectively