title: Phosphor informatics based on confirmatory factor analysis.
abstract: The theoretical understanding of phosphor luminescence is far from complete. To accomplish a full understanding of phosphor luminescence, the data mining of existing experimental data should receive equal consideration along with theoretical approaches. We mined the crystallographic and luminescence data of 75 reported Eu(2+)-doped phosphors with a single Wyckoff site for Eu(2+) activator accommodation, and 32 descriptors were extracted. A confirmatory factor analysis (CFA) based on a structural equation model (SEM) was employed since it has been helpful in understanding complex problems in social sciences and in bioinformatics. This first attempt at applying CFA to the data mining of engineering materials provided a better understanding of the structural and luminescent-property relationships for LED phosphors than what we have learnt so far from the conventional theoretical approaches.
authors: Faculty of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul 143-747, Korea.
authors: Woon Bae
authors: WB
authors: Park
authors: Faculty of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul 143-747, Korea.
authors: Satendra Pal
authors: SP
authors: Singh
authors: Faculty of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul 143-747, Korea.
authors: Minseuk
authors: M
authors: Kim
authors: Faculty of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul 143-747, Korea.
authors: Kee-Sun
authors: KS
authors: Sohn
mesh_terms: D019295:Computational Biology; D005063:Europium / Q000737:chemistry*; D005163:Factor Analysis, Statistical; D049449:Luminescence; D049408:Luminescent Agents / Q000737:chemistry*; D008958:Models, Molecular; D011789:Quantum Theory
chemical_list: D049408:Luminescent Agents; D005063:Europium
keywords: combinatorial materials search; confirmatory factor analysis; data mining; light emitting diode; materials genome; materials informatics; phosphor; principal component analysis; solid-state lighting; structural equation modeling