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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/178280
Multivariate analysis for the classification of copper lead and copper zinc glasses
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The similarity patterns in the physicochemical properties of copper-lead and copper-zinc borate glasses were identified by means of finding similarity within the objects of study using multivariate statistical analysis. As exploratory methods of multivariate analysis, cluster analysis, principal components analysis, and two-way clustering were applied for a set of copper-lead and copper-zinc borate glasses. Specific correlations among the physicochemical properties of copper glasses were interpreted. In particular, the effect of Pb and Zn doping metal ion in copper glasses in the structural and mechanical properties is identified. Interestingly, the degree of lead content determines two kinds of glasses with specific physicochemical properties.
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DIMITROV, Dimitar, et al. Multivariate analysis for the classification of copper lead and copper zinc glasses. Open Chemistry. 2020. Vol. 18, num. 1080-1085. ISSN 2391-5420. [consulted: 10 of June of 2026]. Available at: https://hdl.handle.net/2445/178280