Fig. 10: HEA corrosion resistance prediction frameworks.
This figure presents three different frameworks for predicting the corrosion resistance of High Entropy Alloys. a Composition-Only Prediction Framework (CP Framework): The framework incorporates composition data, which is vectorized and fed into a base model to predict the logarithmic corrosion rate ln(Icorr). b Composition and Processing-Based Prediction Framework (CPP Framework): In addition to the composition data, this model integrates processing data. Processing techniques are represented as multi-hot encoded vectors, and the composition and processing data are merged before being passed to the base model for prediction. c Composition and Processing-Driven Two-Stage Corrosion Prediction Framework with Structural Prediction (CPSP Framework): This model further extends the framework by incorporating a prediction structure that accounts for crystal structure. Composition and processing data are merged, and the model predicts the corrosion resistance based on this extended input. Each model progressively adds more variables to improve the prediction of HEA corrosion resistance, with the final output being the predicted logarithmic corrosion rate ln(Icorr).
