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A combinatorial approach to the discovery and optimization of luminescent materials

Author

Listed:
  • Earl Danielson

    (Symyx Technologies)

  • Josh H. Golden

    (Symyx Technologies)

  • Eric W. McFarland

    (Symyx Technologies)

  • Casper M. Reaves

    (Symyx Technologies)

  • W. Henry Weinberg

    (Symyx Technologies)

  • Xin Di Wu

    (Symyx Technologies)

Abstract

Combinatorial synthesis and screening of very large numbers of organic compounds has been widely applied in the pharmaceutical industry for drug discovery1. Recently, combinatorial arrays of inorganic materials with known or potential superconductivity2 and giant magnetoresistance3 have been synthesized and screened. The combinatorial approach is particularly well suited to ternary and higher-order inorganic materials, for which efforts to predict basic properties have been unsuccessful4. Here we describe an automated combinatorial method for synthesizing and characterizing thin-film libraries of up to 25,000 different materials, on a three-inch-diameter substrate, as candidates for new phosphors. The discovery and development of new compounds for ultraviolet-excited phosphors is of great importance for the development of flat-panel displays5 and lighting6. As there are no reliable theories to predict the relation between composition and phosphor colour and efficiency, the less than 100 useful commercial phosphor materials have been discovered through one-by-one serial synthesis and testing7,8. Our approach, in contrast, offers rapid screening of many compositions, and it has enabled us to identify a new red phosphor, Y0.845Al0.070La0.060Eu0.025VO4, which has a quantum efficiency comparable or superior to those of existing commercial red phosphors.

Suggested Citation

  • Earl Danielson & Josh H. Golden & Eric W. McFarland & Casper M. Reaves & W. Henry Weinberg & Xin Di Wu, 1997. "A combinatorial approach to the discovery and optimization of luminescent materials," Nature, Nature, vol. 389(6654), pages 944-948, October.
  • Handle: RePEc:nat:nature:v:389:y:1997:i:6654:d:10.1038_40099
    DOI: 10.1038/40099
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    Cited by:

    1. Michal Jasienski, 2009. "Garfield’s demon and “surprising” or “unexpected” results in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 347-353, February.

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