富碳和富硅氢化圆碳化硅量子点中硅和碳替代缺陷及孔隙率的电子特性:一项 Ab-Initio 研究

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES Advanced Theory and Simulations Pub Date : 2024-08-17 DOI:10.1002/adts.202400637
José Luis Cuevas Figueroa, Saravana Prakash Thirumuruganandham, Duncan John Mowbray, Alejandro Trejo Baños, Fernando Adán Serrano Orozco, Fabian Jimenez, Miguel Ojeda-Martínez
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摘要

本研究对碳化硅量子点(SiC-QD)进行了研究,并考虑了一些通过去除一个碳原子或硅原子而加入缺陷的圆形碳化硅量子点。考虑到由于化学成分的原因,QD 表面会有更多的硅原子或更多的碳原子,因此模拟了 14 种构型,其中每种构型的硅或碳缺陷的位置都发生了变化。所有计算均采用密度泛函理论(DFT)方法进行。电子交换相关性采用广义梯度近似法(GGA)和修订的 Perdew-Burke-Ernzerhof (RPBE) 函数进行处理。计算了每个构型的电子能级以及部分态密度,以了解每个量子点的能隙起源。最后一步是分析能量形成,以确定化学稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Electronic Properties of Si and C Substitutional Defects and Porosity in C-Rich and Si-Rich Hydrogenated Roundish SiC Quantum Dots: An Ab-Initio Study

In this study, SiC quantum dots (SiC-QD's) are studied, and some roundish SiC-QD's with the incorporation of defects by removing a carbon or silicon atom are considered. Fourteen configurations are modeled in which the position of the silicon or carbon defect for each configuration is changed, considering that due to the chemical composition, it allows more Si atoms or more C atoms on the QD surface. All calculations are performed using the Density Functional Theory (DFT) methodology. The electronic exchange correlation is treated using the Generalized Gradient Approximation (GGA) with the Revised Perdew–Burke–Ernzerhof (RPBE) functional. The electronic energy levels of each configuration are calculated as well as the partial density of states to know the origin of the energy gap in each quantum dot. The final step is to analyze the energy formation to determine chemical stability.

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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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