Combinatorial Screening and QSAR Modeling in the SrO–B[sub 2]O[sub 3]–P[sub 2]O[sub 5] Ternary System to Search for Thermally Stable Blue Phosphors for PDPs

The need to identify a thermally stable blue phosphor for plasma display panels (PDPs) is vital, because the currently used (BAM) phosphors have serious thermal degradation problems. In this respect, we report on the screening of a -doped system by a combinatorial chemistry technique so that combinatorial libraries could be developed in terms of luminance and color chromaticity. As a quantitative structure activity relationship (QSAR) model, a continuous luminance map was obtained as a function of composition using an artificial neural network trained using the results from the combinatorial screening. Promising photoluminescence was found in a lineshape composition range in the ternary library, and the samples in this composition range were crystallized into a single major phase of in an symmetry with cell parameters and . The luminance of was 2.8 times as high as BAM under vacuum ultraviolet (VUV) excitation and underwent negligible thermal degradation, even though the CIE color chromaticity was somewhat poor.