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A Tale of Seemingly 'Identical' Silicon Quantum Dot Families: Structural Insight into Silicon Quantum Dot Photoluminescence

机译:似乎“相同”的硅量子点系列的故事:对硅量子点光致发光的结构洞察力

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摘要

"Two quantum dots, both alike in composition, but differing in structure, where we lay our scene, From broader classes, to bring deeper understanding, to the crystalline core that drives the quantum dot's sheen." In this contribution we examine two families of silicon quantum dots (SiQDs) that bring to mind the Capulets and the Montagues in Shakespeare's Romeo and Juliet because of their stark similarities and differences. SiQDs are highly luminescent, heavy-metal-free, and based upon earth-abundant elements. As such, they have attracted attention for far-reaching applications ranging from biological imaging to luminescent solar concentrators to light-emitting diodes that rely on their size-dependent optical response. Unfortunately, correlating SiQDs "size" to their photoluminescence (PL) maximum is often challenging. Herein, we provide essential structural insight into the correlation between the dimensions and PL maximum of SiQDs through a direct comparison of samples that exhibit statistically identical physical dimensions (d(TEM)) and chemical compositions but different crystallite size (d(XRD)) and PL maxima. We then expand the scope of this investigation and systematically compare groupings of SiQDs: one in which the d(XRD) and d(TEM) agree and one where d(XRD) < d(TEM).This latter comparison clearly shows that d(XRD) better predicts SiQD optical response when using the well-established effective mass approximation.
机译:“两个量子点,两者都是相似的,但结构的不同,我们将我们的场景从更广泛的课程中铺设,让更深的了解,到驱动量子点的光泽的晶体核心。”在这一贡献中,我们检查了两个硅量子点(SIQDS)的家庭,因为它们的鲜明的相似之处和差异,可以介绍莎士比亚的罗密欧和朱丽叶的蒙特雷格。 SIQDS是高发光,重金属无金属,并基于地球丰富的元素。因此,他们引起了远达应用的关注,该应用范围从生物成像到发光太阳能聚光器到依赖于其尺寸依赖性光学响应的​​发光二极管。不幸的是,将SIQDS“尺寸”与它们的光致发光(PL)的最大值相关,通常是具有挑战性的。在此,我们通过直接比较在表现出统计上相同的物理尺寸(D(TEM))和化学组合物,但不同的微晶尺寸(D(XRD))和化学成分(D(XRD))和化学成分(D(XRD))和化学成分(D(XRD))和化学成分(D(XRD))和化学成分(D(XRD))和化学成分(D(XRD))的直接比较提供了基本结构洞察Pl Maxima。然后,我们扩展了这一调查的范围,并系统地比较了SIQDS的分组:其中D(XRD)和D(TEM)同意,其中D(XRD)

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