Genetic algorithm-assisted combinatorial search for a new green phosphor for use in tricolor white LEDs

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An evolutionary optimization process involving a genetic algorithm and combinatorial chemistry was employed for the development of green phosphors which are suitable for tricolor white-light-emitting diodes. To accomplish a high luminescent efficiency at 400 nm excitation, we screened a seven-cation oxide system including Tb, Gd, Ce, Mg, Si, Al, and B. The combination of a genetic algorithm and combinatorial chemistry enhanced the searching efficiency when applied for phosphor screening. As a result, the optimized composition was Tb0.01Gd0.02Ce0.04B0.1Si0.83O6, The luminance of this borosilicate glass was 67% that of ZnS:Cu,Al at 400-nm excitation.
Publisher
AMER CHEMICAL SOC
Issue Date
2006-01
Language
English
Article Type
Article
Keywords

RED PHOSPHORS; CHEMISTRY METHOD; HIGH-EFFICIENCY; LUMINESCENT MATERIALS; CATALYTIC MATERIALS; OPTIMIZATION; EXCITATION; SYSTEM; LIBRARIES

Citation

JOURNAL OF COMBINATORIAL CHEMISTRY, v.8, no.1, pp.44 - 49

ISSN
1520-4766
DOI
10.1021/cc050101z
URI
http://hdl.handle.net/10203/250608
Appears in Collection
CBE-Journal Papers(저널논문)
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