Unveiling the quantitative relationship between microstructural features and quasi-static tensile properties in dual-phase titanium alloys based on data-driven neural networks

Gan Li, Qunbo Fan*, Guoju Li, Lin Yang, Haichao Gong, Meiqin Li, Shun Xu, Xingwang Cheng

*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Fingerprint

Dive into the research topics of 'Unveiling the quantitative relationship between microstructural features and quasi-static tensile properties in dual-phase titanium alloys based on data-driven neural networks'. Together they form a unique fingerprint.

Engineering

Material Science