| 유전알고리즘과 조합화학을 이용한 형광체 개발 |
| 이재문, 유정곤, 박덕현, 손기선 |
| 순천대학교 재료ㆍ금속공학과 |
| A Search for Red Phosphors Using Genetic Algorithm and Combinatorial Chemistry |
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| ABSTRACT |
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We developed an evolutionary optimization process involving a genetic algorithm and combinatorial chemistry (combi-chem), which was tailored exclusively for tile development of LED phosphors with a high luminescent efficiency, when excited by soft ultra violet irradiation. The ultimate goal of our study was to develop oxide red phosphors, which are suitable for three-band white Light Emitting Diodes (LED). To accomplish this, a computational evolutionary optimization process was adopted to screen a Eu$^{3+}$-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, such as Eu$_{0.14}$Mg$_{0.18}$Ca$_{0.07}$Ba$_{0.12}$B$_{0.17}$Si$_{0.32}$O$_{delta}$, were obtained. |
| Key words:
Genetic algorithm, Combinatorial chemistry, LED, Oxide phosphor |
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