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


  • This work was supported by grant No.R01–2002–000–00203–0 from the Basic Research Program of the Korea Science & Engineering Foundation.


A computational evolutionary optimization process is adopted to screen a Eu3+-doped alkali earth borosilicate system in an attempt to search for red phosphors with a high luminescent efficiency when excited by soft ultraviolet irradiation. The evolutionary optimization process involves a genetic algorithm and combinatorial chemistry, which was tailored for the development of light-emitting diode (LED) phosphors. Vertical simulations and an actual synthesis have been carried out in the present investigation, and promising red phosphors for three-band white LED applications have been obtained.