fig13
![Machine learning-guided design and development of metallic structural materials](https://image.oaes.cc/9eb85ff8-fb19-4e88-b878-35307a4b2836/4468.fig.13.jpg)
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.