A Search for New Red and Green Phosphors Using a Computational Evolutionary Optimization Process

摘要

An evolutionary optimization process involving a genetic algorithm and combinatorial chemistry (combi-chem) was tailored exclusively for the development of LED phosphors. The genetic algorithm assisted combi-chem (GACC) is a well-known, very efficient heuristic optimization method. Therefore the combination of a genetic algorithm and combi-chem would enhance the searching efficiency when applied to phosphor screening. The ultimate goal of our study was to develop oxide red and green phosphors, which are suitable for three-band white light emitting diodes (LED). In this regard, promising red and green phosphors for three-band white LED applications, such as Eu_(0.14)Mg_(0.18)Ca_(0.07)TBa_(0.12)B_(0.17)Si_(0.32)O_(delta) and Tb_(0.01)Gd_(0.02)Ce_(0.04)B_(0.1)Si_(0.83)O_(delta), were obtained.