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fig7

From:  Machine learning-guided design and development of metallic structural materials
Machine learning-guided design and development of metallic structural materials

Figure 7. Comparison between experimental measurements of γ′ solvus temperature[42-45], predictions based on a ML RF algorithm and the CALPHAD approach. DSC: Differential scanning calorimetry; CALPHAD: CALculation of PHAse diagram; RFR: RF regression.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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