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Measuring and Predicting the Internal Structure of Semiconductor Nanocrystals through Raman Spectroscopy

机译:拉曼光谱法测量和预测半导体纳米晶体的内部结构

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摘要

Nanocrystals composed of mixed chemical domains have diverse properties that are driving their integration in next-generation electronics, light sources, and biosensors. However, the precise spatial distribution of elements within these particles is difficult to measure and control, yet profoundly impacts their quality and performance. Here we synthesized a unique series of 42 different quantum dot nanocrystals, composed of two chemical domains (CdS:CdSe), arranged in 7 alloy and (core)shell structural classes. Chemometric analyses of far-field Raman spectra accurately classified their internal structures from their vibrational signatures. These classifications provide direct insight into the elemental arrangement of the alloy as well as an independent prediction of fluorescence quantum yield. This nondestructive, rapid approach can be broadly applied to greatly enhance our capacity to measure, predict and monitor multicomponent nanomaterials for precise tuning of their structures and properties.
机译:由混合化学域组成的纳米晶体具有多种特性,这驱使它们集成到下一代电子设备,光源和生物传感器中。但是,这些粒子中元素的精确空间分布很难测量和控制,但会深刻影响其质量和性能。在这里,我们合成了一系列独特的42种不同的量子点纳米晶体,这些晶体由两个化学域(CdS:CdSe)组成,以7种合金和(核)壳结构排列。远场拉曼光谱的化学计量分析可根据其振动特征准确地对其内部结构进行分类。这些分类提供了对合金元素排列的直接见解,以及对荧光量子产率的独立预测。这种无损,快速的方法可以广泛应用,以大大提高我们测量,预测和监控多组分纳米材料以精确调整其结构和性能的能力。

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