Fig. 3: Correlation analysis of subset data at different temperatures. | npj Computational Materials

Fig. 3: Correlation analysis of subset data at different temperatures.

From: Coupling physics in machine learning to predict properties of high-temperatures alloys

Fig. 3

Results of correlation analysis between all features (composition, processing and test conditions, microstructure, and phase transformation temperature, see Table 1) and yield strength at selected representative temperatures. The correlation coefficients of the top 10 and bottom 10 features out of 45 features from 200 °C (low temperature), 550 and 650 °C (medium to high temperatures), and 750 °C (above service temperature) are presented.

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