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A Search for New Red Phosphors Using a Computational Evolutionary Optimization Process
Author(s) -
Sohn K.S.,
Lee J.M.,
Shin N.
Publication year - 2003
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.200305291
Subject(s) - phosphor , materials science , borosilicate glass , process (computing) , doping , luminescence , genetic algorithm , alkali metal , optoelectronics , computer science , nanotechnology , chemistry , machine learning , composite material , operating system , organic chemistry
A computational evolutionary optimization process is adopted to screen a Eu 3+ ‐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.