Global Excellence in Physical Metallurgy 2022

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ORIGINAL RESEARCH

Published on 17 Nov 2022

Machine learning prediction of the mechanical properties of refractory multicomponent alloys based on a dataset of phase and first principles simulation

Congyan Zhang
Xuhang Gu
Uttam Bhandari
Jialin Lei
Shengmin Guo
Mathieu Kourouma
Abdennaceur Karoui
Shizhong Yang

Machine learning prediction of the mechanical properties of refractory multicomponent alloys based on a dataset of phase and first principles simulation

doi 10.3389/ftmal.2022.1036656

1,417 views

PERSPECTIVE

Published on 29 Sep 2022

The application of in situ TEM on the grain boundary brittleness of precipitation-strengthened Ni-based superalloys: Recent progress and perspective

Qian Zhou
Qingqing Ding
Yuefei Zhang
Xiao Wei
Ze Zhang
Hongbin Bei

The application of in situ TEM on the grain boundary brittleness of precipitation-strengthened Ni-based superalloys: Recent progress and perspective

doi 10.3389/ftmal.2022.1016638

1,245 views
2 citations

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Frontiers in Metals and Alloys

Frontiers in Metals and Alloys

Physical Metallurgy

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