• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Advanced Functional Materials >Discovery of New Green Phosphors and Minimization of Experimental Inconsistency Using a Multi-Objective Genetic Algorithm-Assisted Combinatorial Method
【24h】

Discovery of New Green Phosphors and Minimization of Experimental Inconsistency Using a Multi-Objective Genetic Algorithm-Assisted Combinatorial Method

机译：使用多目标遗传算法辅助组合方法发现新的绿色荧光粉并最小化实验不一致性

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A multi-objective genetic algorithm-assisted combinatorial materials search (MOCACMS) strategy was employed to develop a new green phosphor for use in a cold cathode fluorescent lamp (CCFL) for a back light unit (BLU) in liquid crystal display (LCD) applications. MOGACMS is a method for the systematic control of experimental inconsistency, which is one of the most troublesome and difficult problems in high-throughput combinatorial experiments. Experimental inconsistency is a very serious problem faced by all scientists in the field of combinatorial materials science. 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, luminance was maximized and experimental inconsistency was minimized using the MOGACMS strategy. A divalent manganese-doped alkali alkaline germanium oxide system was screened using MOGACMS. As a result of MOGA reiteration, we identified a phosphor, Na_2MgGeO_4:Mn~(2+), with improved luminance and reliable reproducibility.
机译：采用多目标遗传算法辅助组合材料搜索（MOCACMS）策略来开发用于绿色阴极荧光灯（CCFL）的新型绿色荧光粉，该荧光粉用于液晶显示器（LCD）应用中的背光单元（BLU） 。 MOGACMS是一种系统控制实验不一致性的方法，它是高通量组合实验中最麻烦，最困难的问题之一。实验不一致是组合材料科学领域中所有科学家都面临的非常严重的问题。对于本研究，选择实验不一致和材料特性作为同时优化的双重目标函数。具体而言，为了寻找具有高再现性的有前途的荧光粉，使用MOGACMS策略将亮度最大化，并将实验不一致性降至最低。使用MOGACMS筛选了二价锰掺杂的碱性碱式锗氧化物体系。作为MOGA重复的结果，我们确定了一种荧光粉Na_2MgGeO_4：Mn〜（2+），该荧光粉具有改善的亮度和可靠的再现性。

著录项

  • 来源
    《Advanced Functional Materials》 |2009年第11期|1705-1712|共8页
  • 作者

    Asish Kumar Sharma; Chandramouli Kulshreshtha; Kee-Sun Sohn;

  • 作者单位

    Sunchon National University Department of Materials Science and Metallurgical Engineering Maygok dong 315, Sunchon City Chonnam 540-742 (Korea);

    Sunchon National University Department of Materials Science and Metallurgical Engineering Maygok dong 315, Sunchon City Chonnam 540-742 (Korea);

    Sunchon National University Department of Materials Science and Metallurgical Engineering Maygok dong 315, Sunchon City Chonnam 540-742 (Korea);

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号