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http://dx.doi.org/10.3740/MRSK.2017.27.6.312

Search for Mn4+-Activated Red Phosphor by Genetic Algorithm  

Kim, Minseuk (Faculty of Nanotechnology and Advanced Materials Engineering, Sejong University)
Park, Woon Bae (Faculty of Nanotechnology and Advanced Materials Engineering, Sejong University)
Publication Information
Korean Journal of Materials Research / v.27, no.6, 2017 , pp. 312-317 More about this Journal
Abstract
In the construction of a white LED, the region of the red emission is a very important factor. Red light emitting materials play an important role in improving the color rendering index of commercial lighting. These materials also increase the color gamut of display products. Therefore, the development of novel phosphors with red emission and the study of color tuning are actively underway to improve product quality. In the present study, heuristic algorithms were used to search for phosphors capable of increasing the color rendering index and color gamut. Using a heuristic algorithm, the phosphors that were identified were $SrGe_4O_9:Mn^{4+}$ and $BaGe_4O_9:Mn^{4+}$. Emission spectra study confirmed that these phosphors emit light in the deep red wavelength region, which can fulfill the requirement for the improvement in color rendering index and color gamut for a white LED.
Keywords
light emitting diode; phosphor; genetic algorithm; solid-state lighting;
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