Suppr超能文献

硅掺杂石墨烯丰富的基本特性。

Rich essential properties of Si-doped graphene.

作者信息

Nguyen Duy Khanh, Tran Ngoc Thanh Thuy, Chiu Yu-Huang, Gumbs Godfrey, Lin Ming-Fa

机构信息

Laboratory of Applied Physics, Advanced Institute of Materials Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam.

Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam.

出版信息

Sci Rep. 2020 Jul 21;10(1):12051. doi: 10.1038/s41598-020-68765-x.

Abstract

The diverse structural and electronic properties of the Si-adsorbed and -substituted monolayer graphene systems are studied by a complete theoretical framework under the first-principles calculations, including the adatom-diversified geometric structures, the Si- and C-dominated energy bands, the spatial charge densities, variations in the spatial charge densities and the atom- and orbital-projected density of states (DOSs). These critical physical quantities are unified together to display a distinct physical and chemical picture in the studying systems. Under the Si-adsorption and Si-substitution effects, the planar geometric structures are still remained mainly owing to the very strong C-C and Si-C bonds on the honeycomb lattices, respectively. The Si-adsorption cases can create free carriers, while the finite- or zero-gap semiconducting behaviors are revealed in various Si-substitution configurations. The developed theoretical framework can be fully generalized to other emergent layered materials. The Si-doped graphene systems might be a highly promising anode material in the lithium-ion battery owing to its rich potential properties.

摘要

通过第一性原理计算下的完整理论框架,研究了硅吸附和取代的单层石墨烯体系的各种结构和电子性质,包括吸附原子多样化的几何结构、以硅和碳为主的能带、空间电荷密度、空间电荷密度的变化以及原子和轨道投影态密度(DOS)。这些关键物理量被统一起来,以展示所研究体系中独特的物理和化学图景。在硅吸附和硅取代效应下,由于蜂窝晶格上非常强的碳 - 碳和硅 - 碳键,平面几何结构仍然主要得以保留。硅吸附情况可以产生自由载流子,而在各种硅取代构型中则呈现出有限或零带隙的半导体行为。所建立的理论框架可以完全推广到其他新兴层状材料。由于其丰富的潜在性质,硅掺杂石墨烯体系可能是锂离子电池中极具前景的阳极材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b9/7374172/830633963066/41598_2020_68765_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验