4.4 Article

Adsorption of CO, NO, and SO2 gases on pristine and single Ni3 cluster doped arsenene monolayer for its potential application as sensor or adsorbent by density functional theory study

期刊

出版社

ELSEVIER
DOI: 10.1016/j.comptc.2022.113871

关键词

Adsorption; Gas sensor; Density functional theory; Arsenene; Metal cluster doping; Single cluster adsorbent

资金

  1. National Natural Science Foundation of China
  2. [21403003]
  3. [21403004]
  4. [61971003]

向作者/读者索取更多资源

This study explores the adsorption and sensor properties of three atmospheric hazardous gases (CO, NO, and SO2) on pristine and Ni3 cluster-doped arsenene monolayer (Ni3-AS) using density functional theory. The results demonstrate that the pristine arsenene monolayer exhibits superior sensor properties for SO2 gas, and the adsorption performance of arsenene monolayer is significantly improved by introducing Ni3 clusters doping. Arsenene and Ni3-AS are expected to be candidate materials for eliminating these hazardous gases.
In this study, the adsorption and sensor properties of three atmospheric hazardous gases (CO, NO, and SO2) on pristine and Ni3 cluster doped arsenene monolayer (Ni3-AS) were explored in detailed based on density func-tional theory study. The possible applications of arsenene and Ni3-AS as sensor or adsorbent for atmospheric hazardous gases are revealed. The results show that the pristine arsenene monolayer exhibits superior sensor properties for SO2 gas. The adsorption performance of arsenene monolayer for these gases was significantly improved by the introduction of Ni3 clusters doping on the surface. Therefore, arsenene and Ni3-AS is expected to be a candidate material for the elimination of these hazardous gases. This study reveals that single cluster doping of Ni3 can produce more enhanced adsorption performance than single atom doping which provides theoretical guidance for further research on transition metal cluster-doped arsenene as gas sensor and adsorbent.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据