2023
DOI: 10.1016/j.ijrmhm.2023.106420
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Machine learning approach for predicting the fracture toughness of Nb Si based alloys

Eunho Ma,
Seung-Hyeok Shin,
Wonjune Choi
et al.
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Cited by 5 publications
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“…Ti hinders crack extension by lowering the Peierls–Nabarro energy barrier [ 12 ], while Hf and Mo increase the volume fraction of Nbss to improve fracture toughness [ 13 , 14 ]. However, as the number of alloying elements increases, it becomes difficult to accurately elucidate the correlation between the elemental composition and mechanical properties [ 15 ]. Furthermore, most elements have an unfavorable effect on the high-temperature performance due to the lower melting point than Nb [ 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…Ti hinders crack extension by lowering the Peierls–Nabarro energy barrier [ 12 ], while Hf and Mo increase the volume fraction of Nbss to improve fracture toughness [ 13 , 14 ]. However, as the number of alloying elements increases, it becomes difficult to accurately elucidate the correlation between the elemental composition and mechanical properties [ 15 ]. Furthermore, most elements have an unfavorable effect on the high-temperature performance due to the lower melting point than Nb [ 16 ].…”
Section: Introductionmentioning
confidence: 99%