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Machine learning approach for predicting the fracture tough..:
Ma, Eunho
;
Shin, Seung-Hyeok
;
Choi, Wonjune
..
International Journal of Refractory Metals and Hard Materials. 117 (2023) - p. 106420 , 2023
Link:
https://doi.org/10.1016/j.ijrmhm.2023.106420
RT Journal T1 <Title>Machine learning approach for predicting the fracture toughness of Nb Si based alloys</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ijrmhm.2023.106420&Exemplar=1&LAN=DE A1 Ma, Eunho A1 Shin, Seung-Hyeok A1 Choi, Wonjune A1 Byun, Jongmin A1 Hwang, Byoungchul PB Elsevier BV YR 2023 SN 0263-4368 JF International Journal of Refractory Metals and Hard Materials VO 117 SP 106420 LK http://dx.doi.org/https://doi.org/10.1016/j.ijrmhm.2023.106420 DO https://doi.org/10.1016/j.ijrmhm.2023.106420 SF ELIB - SuUB Bremen
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