title: Search for new red phosphors using genetic algorithm-assisted combinatorial chemistry.
abstract: 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.
authors.affiliation: Department of Materials Science and Metallurgical Engineering, Sunchon National University, Chonnam 540-742, Korea.
authors.forename: Chandramouli
authors.initials: C
authors.lastname: Kulshreshtha
authors.forename: Asish Kumar
authors.initials: AK
authors.lastname: Sharma
authors.forename: Kee-Sun
authors.initials: KS
authors.lastname: Sohn
mesh_terms: D000465:Algorithms; D003116:Color; D020650:Combinatorial Chemistry Techniques; D049449:Luminescence; D008163:Luminescent Measurements / Q000379:methods; D010758:Phosphorus / Q000737:chemistry*; D010777:Photochemistry
chemical_list: D010758:Phosphorus