New phosphors for use in white light emitting diodes, back light unit of liquid crystal displays and plasma display panels are necessary since currently available phosphors do not meet the requirement from the industry. Oxide phosphors are environmentally friendly and also suitable for the high-throughput synthesis based on the solution combinatorial chemistry. In this end, genetic algorithm-assisted combinatorial chemistry (GACC) was implemented in order to search for new phosphors in multi-cation oxide systems, including Li₂O, Na₂O, K₂O, CaO, MgO, BaO, SrO, B₂O₃, P₂O₅, TiO₂, SiO₂, Gd₂O₃, Ce₂O₃, Tb₄O₇, and Eu₂O₃. The GACC process was followed by a series of fine-tuning processes based on conventional high throughput screening employing quaternary and ternary libraries, in order to pinpoint promising compositions. The combination of genetic algorithm and combinatorial chemistry was proven to enhance the searching efficiency significantly when used for phosphor screening processes. Four independent GACC implementations adopting different initial generations and their ensuing fine-tuning processes yielded four new phosphor candidates, such as Eu_0.14Mg_0.18Ca_0.07Ba_0.12B_0.17Si_0.32O_d, (Ca_0.72Sr_0.24Ba_0.04)₂P₂O₇:Eu²⁺, (Na_0.92Li_0.08)(Y_0.8Gd_0.2)TiO₄:Eu³⁺, Tb_0.01Gd_0.02Ce_0.04B_0.1Si_0.83O_d, and . The former three phosphors were proven to be crystallized into a definite crystalline structure but the latter one was proven to be a glassy phase. The luminescent property and color chromaticity of these phosphors were all acceptable from the practical point of view.

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