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Title: Identifying flow defects in amorphous alloys using machine learning outlier detection methods

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Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Scripta Materialia
Additional Journal Information:
Journal Name: Scripta Materialia Journal Volume: 186 Journal Issue: C; Journal ID: ISSN 1359-6462
Country of Publication:
United States

Citation Formats

Tian, Liang, Fan, Yue, Li, Lin, and Mousseau, Normand. Identifying flow defects in amorphous alloys using machine learning outlier detection methods. United States: N. p., 2020. Web. doi:10.1016/j.scriptamat.2020.05.038.
Tian, Liang, Fan, Yue, Li, Lin, & Mousseau, Normand. Identifying flow defects in amorphous alloys using machine learning outlier detection methods. United States.
Tian, Liang, Fan, Yue, Li, Lin, and Mousseau, Normand. Tue . "Identifying flow defects in amorphous alloys using machine learning outlier detection methods". United States.
title = {Identifying flow defects in amorphous alloys using machine learning outlier detection methods},
author = {Tian, Liang and Fan, Yue and Li, Lin and Mousseau, Normand},
abstractNote = {},
doi = {10.1016/j.scriptamat.2020.05.038},
journal = {Scripta Materialia},
number = C,
volume = 186,
place = {United States},
year = {2020},
month = {9}

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