title: Genetic algorithm-assisted combinatorial search for a new green phosphor for use in tricolor white LEDs.
abstract: An evolutionary optimization process involving a genetic algorithm and combinatorial chemistry was employed for the development of green phosphors which are suitable for tricolor white-light-emitting diodes. To accomplish a high luminescent efficiency at 400 nm excitation, we screened a seven-cation oxide system including Tb, Gd, Ce, Mg, Si, Al, and B. The combination of a genetic algorithm and combinatorial chemistry enhanced the searching efficiency when applied for phosphor screening. As a result, the optimized composition was Tb(0.01)Gd(0.02)Ce(0.04)B(0.1)Si(0.83)O(delta), The luminance of this borosilicate glass was 67% that of ZnS:Cu,Al at 400-nm excitation.
authors.affiliation: Department of Materials Science and Metallurgical Engineering, Sunchon National University, Chonam 540-742, Korea. kssohn@sunchon.ac.kr
authors.forename: Kee-Sun
authors.initials: KS
authors.lastname: Sohn
authors.forename: Duk Hyun
authors.initials: DH
authors.lastname: Park
authors.forename: Sang Ho
authors.initials: SH
authors.lastname: Cho
authors.forename: Byung Il
authors.initials: BI
authors.lastname: Kim
authors.forename: Seong Ihl
authors.initials: SI
authors.lastname: Woo
mesh_terms: D000465:Algorithms; D002412:Cations / Q000737:chemistry; D020650:Combinatorial Chemistry Techniques / Q000295:instrumentation / Q000379:methods*; D008027:Light; D049449:Luminescence; D008957:Models, Genetic; D010087:Oxides / Q000737:chemistry; D010758:Phosphorus / Q000737:chemistry*
chemical_list: D002412:Cations; D010087:Oxides; D010758:Phosphorus