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| Thesis Name： |
A Search for New Red and Green Phosphors Using A Computational EvolutionaryOptimization Process |
| Usage： |
chemical industry |
| Keyword： |
genetic algorithm; combinatorial chemistry; phosphor |
| Remarks： |
Jae Moon Lee; Jeong Gon Yoo; Ji Sik Kim; Kee-Sun Sohn;
Department of Materials Science and Metallurgical Engineering, Sunchon NationalUniversity, Chonnam 540-742, Korea;
Chinese Society for Metals; Japan Institute of Metals; Korea Institute ofMetals and Materials;
Abstract:
An evolutionary optimization process involving a genetic algorithm andcombinatorial 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 heuristicoptimization method. Therefore the combination of a genetic algorithm and combi-chem would enhancethe searching efficiency when applied to phosphor screening. The ultimate goal of our study was todevelop 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 Eu_(0.14)Mg_(0.18)Ca_(0.07)Ba_(0.12)B_(0.17)Si_(0.32)O_δ andTb_(0.01)Gd_(0.02)Ce_(0.04)B_(0.1)Si_(0.83)O_δ, were obtained.
Source:National Science and Technology Library
URL:http://www.nstl.gov.cn/index.html |
| Original file： |
No File
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Promulgator Detail |
| Full name: |
administrator |
| Country: |
CN |
| City: |
Dalian |
| Company Name: |
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| Homepage: |
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