Genetic algorithm-assisted combinatorial search for new red phosphors of high efficiency at soft ultraviolet excitation

被引:17
作者
Sohn, KS [1 ]
Kim, BI
Shin, N
机构
[1] Sunchon Natl Univ, Dept Met Engn & Mat Sci, Chonam 540742, South Korea
[2] Pohang Accelerator Lab, Beamline Div, Kyungbuk 790784, South Korea
关键词
D O I
10.1149/1.1808592
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
We developed an evolutionary optimization process involving a genetic algorithm and combinatorial chemistry (combi-chem), which was tailored exclusively for the development of light emitting diode (LED) phosphors with a high luminescent efficiency, when excited by soft ultraviolet irradiation. The ultimate goal of our study was to develop oxide red phosphors, which are suitable for three-band white LEDs. To accomplish this, a computational evolutionary optimization process was adopted to screen a Eu3+-doped alkali earth borosilicate system. The genetic algorithm is a well-known, very efficient heuristic optimization method and combi-chem is also a powerful tool for use in an actual experimental optimization process. Therefore the combination of a genetic algorithm and combi-chem would enhance the searching efficiency when applied to phosphor screening. Vertical simulations and an actual synthesis were carried out and promising red phosphors for three-band white LED applications were obtained. (C) 2004 The Electrochemical Society.
引用
收藏
页码:H243 / H248
页数:6
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