| 초록 |
Nitride or oxynitride phosphors have been recently acting as key phosphors in the light emitting diode (LED) application. In particular, their superiority to the conventional oxide-based phosphors in terms of efficacy, thermal stability, color rendering, and etc. made it possible to achieve rapid commercialization of several nitride or oxynitride phosphors such as CaAlSiN3, - and -Sialons, Sr2Si5N8, and etc. However, it is still necessary to discover more nitride phosphors, which meet specific requirements for LED applications. In this regard, heuristics based combinatorial material search (MOGACMS) strategies have been applied to various multi-compositional inorganic systems to search for new phosphors and to optimize the properties of phosphors. The heuristics strategies that we used include single or Multi objective genetic algorithm and particle swarm optimization |
