[S1] S1 Architecture construction for functions and properties of materials VI-New frontier of multiscale structure control for materials design-

1:20 PM - 1:40 PM JST(4:20 AM - 4:40 AM UTC)

[S1.6] Quantitative Morphological Analysis of Fracture Surfaces in Mo-Ti-C Alloys Using Machine Learning

*Xinyu Yan¹, Sheng Xu^1,2, Takahiro Kaneko¹, Toshihiro Omori¹, Kyosuke Yoshimi¹ (1. Graduate School of Engineering, Tohoku Univ., 2. FRIS, Tohoku Univ.)

Keywords:

Mo-Ti-C alloy,Fracture surface morphology,Quantitative morphological analysis,Machine learning,Feature extraction,Con-focal laser scanning microscopy

This study uses feature extraction and machine learning to explore the relationship between fracture morphology, alloy composition, and mechanical properties.