Corrigendum to “A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys” [Mat. Des., Volume 187 (2020), 108378]

Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/88728

Title:	Corrigendum to “A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys” [Mat. Des., Volume 187 (2020), 108378]
Authors:	Xiong, J Shi, SQ Zhang, TY
Issue Date:	Jun-2020
Source:	Materials and design, June 2020, v. 191, 108651, p. 1-1
Publisher:	Elsevier
Journal:	Materials and design
ISSN:	0264-1275
EISSN:	1873-4197
DOI:	10.1016/j.matdes.2020.108651
Rights:	© 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). The following publication Xiong, J., Shi, S. Q., & Zhang, T. Y. (2020). Corrigendum to “A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys” [Mat. Des., Volume 187 (2020), 108378]. Materials and Design, 191, 108651, 1 is available at https://dx.doi.org/10.1016/j.matdes.2020.108651
Appears in Collections:	Journal/Magazine Article

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