Characterization of nanoscale structural heterogeneity in metallic glasses: A machine learning study

Majid Samavatian,Reza Gholamipour,Dmitry Olegovich Bokov,Wanich Suksatan,Vahid Samavatian,Morteza Mahmoodan

Journal of Non-Crystalline Solids（2022）

引用 12|浏览2

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摘要

•A machine learning approach was developed for predicting structural heterogeneity in the MGs.•The results proved the reliability and precision of the model.•A correlative study between as-cast and rejuvenated samples was conducted.•The evolution of nanoscale regions under AFM testing was evaluated.

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关键词

Machine learning,Atomic force microscopy,Metallic glass,Structural heterogeneity

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