The integrated multivariate approach in materials science

The combination and application of different multivariate statistical methods for glass synthesis and glass technology is demonstrated for the design of new photochromic materials. Factor analysis and cluster analysis are used to provide a multivariate view of the experimental data, for data preproc...

Full description

Saved in:
Bibliographic Details
Published in:Analytica chimica acta 1989, Vol.223 (1), p.247-255
Main Authors: Wienke, D., Danzer, K., Gitter, M., Aures, J., Münch, U., Byhan, H.-G., Pohl, H.-J.
Format: Article
Language:English
Subjects:
Applied sciences
Building materials. Ceramics. Glasses
Chemical industry and chemicals
Exact sciences and technology
Glasses
Manufacture
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The combination and application of different multivariate statistical methods for glass synthesis and glass technology is demonstrated for the design of new photochromic materials. Factor analysis and cluster analysis are used to provide a multivariate view of the experimental data, for data preprocessing and for extraction of interactions of variables. The partial least-squares method finds a new application for optimization of synthetic and technical parameters in a search for glasses with optimal combinations of properties given by points in the common latent-variables space.
ISSN:0003-2670
1873-4324
DOI:10.1016/S0003-2670(00)84088-X