Sciweavers

Share
DATASCIENCE
2002

The application of Principal Component Analysis to materials science data

10 years 2 months ago
The application of Principal Component Analysis to materials science data
The relationship between apparently disparate sets of data is a critical component of interpreting materials' behavior, especially in terms of assessing the impact of the microscopic characteristics of materials on their macroscopic or engineering behavior. In this paper we demonstrate the value of principal component analysis of property data associated with high temperature superconductivity to examine the statistical impact of the materials' intrinsic characteristics on high temperature superconducting behavior.
Changwon Suh, Arun Rajagopalan, Xiang Li, Krishna
Added 18 Dec 2010
Updated 18 Dec 2010
Type Journal
Year 2002
Where DATASCIENCE
Authors Changwon Suh, Arun Rajagopalan, Xiang Li, Krishna Rajan
Comments (0)
books