Multivariate analysis for the classification of copper–lead and copper–zinc glasses-Reference-Cited by-同舟云学术

Multivariate analysis for the classification of copper–lead and copper–zinc glasses

Published:2020-08-26 Issue:1 Volume:18 Page:1080-1085
ISSN:2391-5420
Container-title:Open Chemistry
language:
Short-container-title:

Author:

Dimitrov Dimitar¹,Nedyalkova Miroslava²,Madurga Sergio³,Naneva Ludmila⁴,Simeonov Vasil¹

Affiliation:

1. Department of Analytical Chemistry, Faculty of Chemistry and Pharmacy, University of Sofia “St. Kl. Ohridski”, Sofia, Bulgaria

2. Department of Inorganic Chemistry, Faculty of Chemistry and Pharmacy, University of Sofia “St. Kl. Ohridski”, Sofia, Bulgaria

3. Department of Materials Science and Physical Chemistry and the Research Institute of Theoretical and Computational Chemistry (IQTCUB) of the University of Barcelona (UB), 08028 Barcelona C/Martí I Franquès 1, Spain

4. Department of Chemistry, Medical University of Varna, Varna, Bulgaria

Abstract

AbstractThe 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.

Publisher

Walter de Gruyter GmbH

Subject

Materials Chemistry,General Chemistry

Link

https://www.degruyter.com/downloadpdf/journals/chem/18/1/article-p1080.xml

Reference42 articles.

1. Photoluminescence in the UV-VIS region of polyvalent ions in glasses;J Non-Cryst Solids,2004

2. A review on infrared spectroscopy of borate glasses with effects of different additives;ISRN Ceram,2012

3. Structural characterization of borate glasses containing zinc and manganese oxides;J Mod Phys,2011

4. Boron oxide glasses and nanocomposites: synthetic, structural and statistical approach;J Mater Sci Technol,2017

5. Characterization of lead based binary and ternary glass systems using spectroscopic methods;Int J Res Pure Appl Phys,2013

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Composition analysis and identification of ancient glass based on K-Means clustering;Highlights in Science, Engineering and Technology;2023-04-07

2. A Two-phase Type Identification and Subclass Classification Model for Glass Artifacts;2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE);2022-12-16

3. Classification and identification of glass products based on K-means clustering analysis and Fisher's linear discriminant method;Highlights in Science, Engineering and Technology;2022-12-07