fig13

Machine learning-guided design and development of metallic structural materials

Figure 13. ML-assisted development of low-modulus and low-cost Ti alloys[23]. (A) Detailed procedures for establishing artificial neural network (ANN)-based machine learning prediction model, namely, β Low. (B) Property-oriented alloy composition prediction with constraint using β Low.

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