Yulin Shengcao

Integrating multimodal dot product fusion with conditional generative adversarial network to build a C-P-S-P chain in Mg alloys

Establishing quantitative relationships among composition, process, structure, and property (C-P-S-P) is a fundamental challenge in materials science, yet conventional models relying solely on numerical data fail to capture microstructural spatial heterogeneity, limiting predicti...