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

来源：

JOURNAL OF THE ELECTROCHEMICAL SOCIETY | 2004年 / 151卷 / 12期

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

页码：H243 / H248

页数：6

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