A property-oriented design strategy for high performance copper alloys via machine learning
Traditional strategies for designing new materials with targeted property including methods such as trial and error, and experiences of domain experts, are time and cost consuming. In the present study, we propose a machine learning design system involving three features of machine learning modeling...
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Veröffentlicht in: | npj computational materials 2019-08, Vol.5 (1), p.1-8, Article 87 |
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Sprache: | eng |
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