Density functional theory based characterization of point defects in two-dimensional Zn2(V,Nb,Ta)N3 ternary nitrides

IF 3.1 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Computational Materials Science Pub Date : 2024-09-10 DOI:10.1016/j.commatsci.2024.113356
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Abstract

Structural defects, including mono- and double- vacancies, commonly presented at the surface of two-dimensional materials (2D), including 2D ternary nitrides. These point defects can alter electronic structure of 2D ternary nitrides. In this work, density functional theory based simulations are utilized for a comprehensive characterization of point defects in Zn2(V,Nb,Ta)N3 monolayers. The monovacancies of Z and N in Zn2(V,Nb,Ta)N3 monolayers are found to have the lowest formation energy among all studied defects. The presence of the monovacancy of N leads to a blue shift of valance and conduction bands of the Zn2(V,Nb,Ta)N3 monolayers and the formation of deep trap states in their fundamental gap in the vicinity of the Fermi level, while the presence of the monovacancy of Zn induces the formation of shallow trap states within the fundamental gap on the Zn2(V,Nb,Ta)N3 monolayers. The scanning tunneling microscopy simulated images of point defects in Zn2(V,Nb,Ta)N3 monolayers obtained in this work can facilitate the detection of these defects in experiments. Therefore, the theoretical characterization of defects in Zn2(V,Nb,Ta)N3 monolayers presented in this work can provide helpful guidance for future experiments.

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基于密度泛函理论的二维 Zn2(V,Nb,Ta)N3 三元氮化物点缺陷表征
结构缺陷,包括单空位和双空位,通常出现在二维材料(2D),包括二维三元氮化物的表面。这些点缺陷会改变二维三元氮化物的电子结构。本研究利用基于密度泛函理论的模拟,对 Zn2(V,Nb,Ta)N3 单层中的点缺陷进行了全面描述。在所有研究过的缺陷中,Zn2(V,Nb,Ta)N3 单层中 Z 和 N 的单空位具有最低的形成能。N 单价的存在导致 Zn2(V,Nb,Ta)N3 单层的价带和导带发生蓝移,并在费米级附近的基隙中形成深阱态,而 Zn 单价的存在则在 Zn2(V,Nb,Ta)N3 单层的基隙中形成浅阱态。本研究获得的 Zn2(V,Nb,Ta)N3 单层点缺陷的扫描隧道显微镜模拟图像有助于在实验中检测这些缺陷。因此,本文对 Zn2(V,Nb,Ta)N3 单层中缺陷的理论表征可为今后的实验提供有益的指导。
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来源期刊
Computational Materials Science
Computational Materials Science 工程技术-材料科学:综合
CiteScore
6.50
自引率
6.10%
发文量
665
审稿时长
26 days
期刊介绍: The goal of Computational Materials Science is to report on results that provide new or unique insights into, or significantly expand our understanding of, the properties of materials or phenomena associated with their design, synthesis, processing, characterization, and utilization. To be relevant to the journal, the results should be applied or applicable to specific material systems that are discussed within the submission.
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