Paper Title:
A Search for New Red and Green Phosphors Using a Computational Evolutionary Optimization Process
  Abstract

An evolutionary optimization process involving a genetic algorithm and combinatorial chemistry (combi-chem) was tailored exclusively for the development of LED phosphors. The genetic algorithm assisted combi-chem (GACC) is a well-known, very efficient heuristic optimization method. Therefore the combination of a genetic algorithm and combi-chem would enhance the searching efficiency when applied to phosphor screening. The ultimate goal of our study was to develop oxide red and green phosphors, which are suitable for three-band white light emitting diodes (LED). In this regard, promising red and green phosphors for three-band white LED applications, such as Eu0.14Mg0.18Ca0.07Ba0.12B0.17Si0.32Od and Tb0.01Gd0.02Ce0.04B0.1Si0.83Od, were obtained.

  Info
Periodical
Materials Science Forum (Volumes 475-479)
Main Theme
Edited by
Z.Y. Zhong, H. Saka, T.H. Kim, E.A. Holm, Y.F. Han and X.S. Xie
Pages
1117-1120
DOI
10.4028/www.scientific.net/MSF.475-479.1117
Citation
J. M. Lee, J. G. Yoo, J. S. Kim, K. S. Sohn, "A Search for New Red and Green Phosphors Using a Computational Evolutionary Optimization Process", Materials Science Forum, Vols. 475-479, pp. 1117-1120, 2005
Online since
January 2005
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$32.00
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