Evolutionary design of machine-learning-predicted bulk metallic glasses
Author:
Affiliation:
1. Department of Materials Science and Metallurgy, University of Cambridge, UK
Abstract
Funder
H2020 European Research Council
Publisher
Royal Society of Chemistry (RSC)
Link
http://pubs.rsc.org/en/content/articlepdf/2023/DD/D2DD00078D
Reference89 articles.
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2. A. L.Greer , in Phys. Metall. , ed. D. E. Laughlin and K. Hono , Elsevier , Oxford , 5th edn, 2014 , ch. 4, vol. 1 , pp. 305–385
3. Bulk metallic glasses
4. C.Suryanarayana and A.Inoue , Bulk Metallic Glasses , CRC Press , 2018
5. A machine learning approach for engineering bulk metallic glass alloys
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