Fig. 2: Schematic of ML predictions of miscible/immiscible pairs and ternary dealloying systems.
From: Machine-learning for designing nanoarchitectured materials by dealloying
The two steps for predicting dealloying systems by the ML method. The first step is to classify the miscible and immiscible pairs and compose potential ternary dealloying systems. The second step is to determine the parent alloy and the dealloying agent in each of the ternary systems that are prescreened in the first step.
