二氧化锡导带边缘电位的有效预测:表面氧空位的关键作用

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Gennaro Vincenzo Sannino, Adriana Pecoraro, Paola Delli Veneri, Michele Pavone, Ana Belén Muñoz-García
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引用次数: 0

摘要

多项不同层次的理论研究都试图计算二氧化锡导带的绝对位置,而了解二氧化锡导带的绝对位置是将其有效应用于光电设备(如过氧化物太阳能电池)的关键。然而,预测的带边缘超出了实验测量的范围。在这项工作中,我们介绍了一种计算方案,旨在计算二氧化锡的导带最小值,得出与实验一致的结果。我们的分析指出了包含表面氧空位对正确描述这种材料的电子剖面所起的基本作用。我们探讨了桥和面内氧空位缺陷对二氧化锡结构和电子特性的影响,从原子论的角度解释了实验观测数据。研究结果强调了模拟这两类缺陷对准确预测二氧化锡特性的重要性,并提供了新的基本见解,可指导未来有关二氧化锡基材料和功能界面设计与优化的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Effective prediction of SnO2 conduction band edge potential: The key role of surface oxygen vacancies

Effective prediction of SnO2 conduction band edge potential: The key role of surface oxygen vacancies

Several theoretical studies at different levels of theory have attempted to calculate the absolute position of the SnO2 conduction band, whose knowledge is key for its effective application in optoelectronic devices such us, for example, perovskite solar cells. However, the predicted band edges fall outside the experimentally measured range. In this work, we introduce a computational scheme designed to calculate the conduction band minimum values of SnO2, yielding results aligned with experiments. Our analysis points out the fundamental role of encompassing surface oxygen vacancies to properly describe the electronic profile of this material. We explore the impact of both bridge and in-plane oxygen vacancy defects on the structural and electronic properties of SnO2, explaining from an atomistic perspective the experimental observables. The results underscore the importance of simulating both types of defects to accurately predict SnO2 features and provide new fundamental insights that can guide future studies concerning design and optimization of SnO2-based materials and functional interfaces.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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