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Search for new red phosphors using genetic algorithm-assisted combinatorial chemistry

机译:使用遗传算法辅助组合化学搜索新的红色荧光粉

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摘要

A genetic algorithm was employed in association with high-throughput synthesis and characterization in an attempt to search for red phosphors with high photoluminescent intensity. A tetravalent manganese-doped alkali earth germanium oxide system, with an emission color close to a desirable deep red, was screened with the assistance of a genetic algorithm to pinpoint the phosphor exhibiting the highest photoluminescence. As the genetic algorithm was in progress, the PL intensity increased and maximized in the fourth generation. The highest and the average PL intensity of the fourth generation improved by 23 and 120%, respectively, compared with that of the first generation.
机译:遗传算法与高通量合成和表征相关联,试图寻找具有高光致发光强度的红色荧光粉。在遗传算法的帮助下,筛选了具有接近理想深红色的发射色的四价锰掺杂碱土金属锗氧化物系统,以查明表现出最高光致发光的磷光体。随着遗传算法的发展,PL强度在第四代中增加并最大化。与第一代相比,第四代的最高和平均PL强度分别提高了23%和120%。

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