Search for Phosphors for use in Displays and Lightings using Heuristics-based Combinatorial Materials Science

Abstract

Multi objective genetic algorithm assisted combinatorial material search (MOGACMS) strategies have been applied to multi-compositional inorganic oxide systems to search for new green phosphors as a cold cathode fluorescent lamp (CCFL) for a back light unit (BLU) in liquid crystal display (LCD) applications. In addition, we especially emphasized on a troublesome, complex problem of high throughput experimentation (HTE), the inconsistency, which is frequently faced by combinatorial materials scientist. For this study, experimental inconsistency and material property were selected as dual objective functions that were simultaneously optimized. Specifically, in an attempt to search for promising phosphors with high reproducibility, photoluminescence (PL) intensity was maximized and experimental inconsistency was minimized by the MOGACMS strategy.