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Systematic Control of Experimental Inconsistency in Combinatorial Materials Science

机译:组合材料科学中实验不一致的系统控制

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摘要

We developed a method to systematically control experimental inconsistency,which is one of the most troublesome and difficult problems in high-throughput combinatorial experiments.The topic of experimental inconsistency is never addressed,even though all scientists in the field of combinatorial materials science face this very serious problem.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 employing a multiobjective evolutionary optimization-assisted combinatorial materials search(MOEO combinatorial material search)strategy.A tetravalent manganese-doped alkali earth germanium/titanium oxide system was used as a model system to be screened using MOEO combinatorial materials search.As a result of MOEO reiteration,we identified a halide-detached deep red phosphor with improved PL intensity and reliable reproducibility.
机译:我们开发了一种系统地控制实验不一致的方法,这是高通量组合实验中最麻烦,最棘手的问题之一。尽管在组合材料科学领域的所有科学家都非常面对这一问题,但从未解决过实验不一致的问题。实验矛盾和材料特性被选择为同时优化的双重目标函数。特别是,在寻找具有高重现性的有前景的荧光粉的尝试中,通过采用多目标技术最大化了光致发光(PL)的强度,并最大程度地减少了实验的不一致性。进化优化辅助组合材料搜索(MOEO组合材料搜索)策略。以四价锰掺杂碱土锗/二氧化钛系统为模型系统,通过MOEO组合材料搜索进行筛选。认出了一只卤素电子分离的深红色荧光粉,具有改善的PL强度和可靠的重现性。

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