Research Article
Prediction of Mg Alloy Corrosion Based on Machine Learning Models
Table 1
Chemical composite features, environment features, and target attributes.
| Features | | Unit | Descriptions | Data range |
| Material | Elements | wt% | Al content | 0.015–17.000 | Zn content | 0.001–30.000 | Mn content | 0.002–1.000 | Si content | 0.001–1.110 | Fe content | 0.001–0.040 | Cu content | 0–10.000 | Ca content | 0–4.000 | Sr content | 0–1.960 | Sn content | 0–9.140 | Environmental | Cl ion | mol·L−1 | Chloride ion concentration | 0.087–1.026 | Target property | Icorr | A·cm−2 | Corrosion current | 0–0.167 | Ecorr | V | Corrosion potential | −2.027–−1.117 |
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