Fig. 8
From: Designing Ti-6Al-4V microstructure for strain delocalization using neural networks
a A simplified version of a graph including only surface-visible grains in the polycrystal. Each node represents a grain, with its size and color intensity proportional to the grain’s slip ratio. An edge between two nodes indicates that two grains are nearest neighbors. Considering the grain neighborhood, bold arrows show the shortest path between two grains with intense slip bands. b Overall architecture of the neural network model developed here, which includes an input layer, multiple fully-connected hidden layers with ReLU activation function, and an output regression layer. The output layer has only one neuron to predict any of the three properties