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Evidence of Skewness and Sub-Gaussian Character in Temperature-Dependent Distributions of One Million Electronic Excitation Energies in PbS Quantum Dots

机译:PBS量子点100万电子励磁能量温度依赖性分布中偏斜和次高斯特征的证据

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Obtaining statistical distributions by sampling a large number of conformations is vital for an accurate description of temperature-dependent properties of chemical systems. However, constructing distributions with 10(5)-10(6) samples is computationally challenging because of the prohibitively high computational cost of performing first-principles quantum mechanical calculations. In this work, we present a new technique called the effective stochastic potential configuration interaction singles (ESP-CIS) method to obtain excitation energies. The ESP-CIS method uses random matrix theory for the construction of an effective stochastic representation of the Fock operator and combines it with the CIS method. Excited-state energies of PbS quantum dots (0.75-1.75 nm) at temperatures of 10-400 K were calculated using the ESP-CIS method. Results from a total of 27 million excitation energy calculations revealed the distributions to be sub-Gaussian in nature with negative skewness, which progressively became red-shifted with increasing temperature. This study demonstrates the efficacy of the ESP-CIS method as a general-purpose method for efficient excited-state calculations.
机译:通过采样大量构象获得统计分布对于化学系统的温度依赖性性质的准确描述至关重要。然而,由于执行第一原理量子力学计算的预算高计算成本,构建具有10(5)-10(6)个样本的分布在计算上具有挑战性。在这项工作中,我们提出了一种称为有效随机潜在配置相互作用单打(ESP-CIS)方法的新技术,以获得励磁能量。 ESP-CIS方法使用随机矩阵理论来构建套管操作员的有效随机表示,并将其与CIS方法相结合。使用ESP-CIS方法计算10-400 k温度的PBS量子点(0.75-1.75nm)的激发状态能量。结果来自总共2700万激励能量计算,揭示了具有负面偏振的亚高斯的分布,这逐渐变得越来越多的温度。本研究证明了ESP-CIS方法作为高效兴奋状态计算的通用方法的功效。

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