A Search for New Red and Green Phosphors Using a Computational Evolutionary Optimization Process
|Periodical||Materials Science Forum (Volumes 475 - 479)|
|Edited by||Z.Y. Zhong, H. Saka, T.H. Kim, E.A. Holm, Y.F. Han and X.S. Xie|
|Citation||Jae Moon Lee et al., 2005, Materials Science Forum, 475-479, 1117|
|Online since||January, 2005|
|Authors||Jae Moon Lee, Jeong Gon Yoo, Ji Sik Kim, Kee Sun Sohn|
|Keywords||Combinatorial Chemistry, Genetic Algorithm (GA), Phosphor|
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.