Ekaterina Vladimirovna Bartashevich, Sergey Sozykin, Vladimir G. Tsirelson
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引用次数: 0
Abstract
This study discusses the structural features and electronic properties of silicon carbide monolayers (SiCML) in which the loss of a neutral Si or C atom leads to the formation of vacancy defects. 2D periodic models were compared from the standpoint of the energetic preference of their various metastable atomic configurations. The energy properties in SiCML models varies widely and depends on the type of ordering of silicon atoms in the layer plane. The electronic properties of SiCML were analyzed using the spin density distributions, electron localization function, and phase-space defined Fisher information density (PS-FID). It was discovered that PS-FID function allows distinguishing the domains of unpaired electrons from the domains of a lone electron pair. The study characterizes the types of C…C, C–Si, and Si–Si bonds forming between the atoms of defect selvedge. Some of C…C bonds can be attributed to typical tetrel bonds.
本研究讨论了碳化硅单层(SiCML)的结构特征和电子性能,其中中性Si或C原子的损失导致空位缺陷的形成。从不同亚稳原子构型的能量偏好角度比较了二维周期模型。SiCML模型中的能量性质变化很大,并且取决于层平面中硅原子的排序类型。利用自旋密度分布、电子定位函数和相空间定义的Fisher信息密度(PS-FID)分析了SiCML的电子性质。发现PS-FID函数可以区分孤电子对和未配对电子域。研究表征了缺陷边缘原子间形成的C…C, C - si和Si-Si键的类型。一些C…C键可以归结为典型的四烷基键。
期刊介绍:
Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions.
The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.