Designing superlattices ultra hard coatings: datamining approach

H. Aourag; F. Saidi; S. Broderick; K. Rajan

doi:10.1166/jctn.2009.1114

Designing superlattices ultra hard coatings: datamining approach

H. Aourag
, F. Saidi
, S. Broderick
, K. Rajan

Department of Materials Design and Innovation

Abou Bakr Belkaïd University of Tlemcen

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

The paper presents some results of the research connected with the developpement of new approach based on, datamining the bulk and shear modulus fo carbide and nitride metals transition. Principal component analysis (PCA) and partial least squares (PLS), an informatics techniques, have been applied to predict new miltilayers ultra hard coatings materials.

Original language	English
Pages (from-to)	828-833
Number of pages	6
Journal	Journal of Computational and Theoretical Nanoscience
Volume	6
Issue number	4
DOIs	https://doi.org/10.1166/jctn.2009.1114
State	Published - Apr 2009

Keywords

Datamining
Hardness
Materials informatics
Thin layer superlattices

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10.1166/jctn.2009.1114

Cite this

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abstract = "The paper presents some results of the research connected with the developpement of new approach based on, datamining the bulk and shear modulus fo carbide and nitride metals transition. Principal component analysis (PCA) and partial least squares (PLS), an informatics techniques, have been applied to predict new miltilayers ultra hard coatings materials.",

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AB - The paper presents some results of the research connected with the developpement of new approach based on, datamining the bulk and shear modulus fo carbide and nitride metals transition. Principal component analysis (PCA) and partial least squares (PLS), an informatics techniques, have been applied to predict new miltilayers ultra hard coatings materials.

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KW - Hardness

KW - Materials informatics

KW - Thin layer superlattices

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M3 - Article

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Designing superlattices ultra hard coatings: datamining approach

Abstract

Keywords

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