Structural, electronic, and gas sensing properties of nanoporous based armchair silicene Nanoribbon: A first principles study

IF 3.9 Q3 PHYSICS, CONDENSED MATTER
Shazia Showket , Khurshed A. Shah , Asma Naqash , G.N. Dar
{"title":"Structural, electronic, and gas sensing properties of nanoporous based armchair silicene Nanoribbon: A first principles study","authors":"Shazia Showket ,&nbsp;Khurshed A. Shah ,&nbsp;Asma Naqash ,&nbsp;G.N. Dar","doi":"10.1016/j.cocom.2025.e01101","DOIUrl":null,"url":null,"abstract":"<div><div>The growing concern over toxic volatile organic compounds (VOCs), such as methanol and ethanol, which pose health and environmental risks, highlights the need for advanced gas sensors with high sensitivity, rapid response, and quick recovery. Specifically, well-defined, nanoporous structures are crucial for improving sensor sensitivity and selectivity. This article uses first-principles calculations based on density functional theory (DFT) to study the structural, electronic, and gas-sensing properties of one-dimensional nanoporous armchair silicene nanoribbon (ASiNR) and fluorine-functionalized nanoporous ASiNR (F-ASiNR) devices. We have created various point defects, including monovacant (MV), divacant (DV), and trivacant (TV), by selectively removing silicon atoms from the structure. To achieve this, we identified optimal adsorption sites, adsorption energies, interaction distances, and work function values. Additionally, current-voltage analysis confirms that nanoporous ASiNR sensors are highly sensitive, with the TV configuration showing the highest ethanol response of 433 % and excellent selectivity for ethanol over other sensor types. Furthermore, we calculated recovery times under visible light at 300 K, which varied considerably, with the TV sensor exhibiting the shortest recovery times of 2 ms and 1.36 ms for methanol and ethanol, respectively. Our results demonstrate that the proposed nanoporous ASiNR sensors are promising for detecting toxic VOCs and have strong potential for real-world applications in environmental monitoring and safety.</div></div>","PeriodicalId":46322,"journal":{"name":"Computational Condensed Matter","volume":"44 ","pages":"Article e01101"},"PeriodicalIF":3.9000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Condensed Matter","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352214325001017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHYSICS, CONDENSED MATTER","Score":null,"Total":0}
引用次数: 0

Abstract

The growing concern over toxic volatile organic compounds (VOCs), such as methanol and ethanol, which pose health and environmental risks, highlights the need for advanced gas sensors with high sensitivity, rapid response, and quick recovery. Specifically, well-defined, nanoporous structures are crucial for improving sensor sensitivity and selectivity. This article uses first-principles calculations based on density functional theory (DFT) to study the structural, electronic, and gas-sensing properties of one-dimensional nanoporous armchair silicene nanoribbon (ASiNR) and fluorine-functionalized nanoporous ASiNR (F-ASiNR) devices. We have created various point defects, including monovacant (MV), divacant (DV), and trivacant (TV), by selectively removing silicon atoms from the structure. To achieve this, we identified optimal adsorption sites, adsorption energies, interaction distances, and work function values. Additionally, current-voltage analysis confirms that nanoporous ASiNR sensors are highly sensitive, with the TV configuration showing the highest ethanol response of 433 % and excellent selectivity for ethanol over other sensor types. Furthermore, we calculated recovery times under visible light at 300 K, which varied considerably, with the TV sensor exhibiting the shortest recovery times of 2 ms and 1.36 ms for methanol and ethanol, respectively. Our results demonstrate that the proposed nanoporous ASiNR sensors are promising for detecting toxic VOCs and have strong potential for real-world applications in environmental monitoring and safety.
纳米多孔扶手椅型硅纳米带的结构、电子和气敏特性:第一性原理研究
甲醇和乙醇等有毒挥发性有机化合物(VOCs)对健康和环境造成的风险日益受到关注,这凸显了对高灵敏度、快速响应和快速恢复的先进气体传感器的需求。具体来说,定义良好的纳米孔结构对于提高传感器的灵敏度和选择性至关重要。本文采用基于密度泛函理论(DFT)的第一性原理计算,研究了一维纳米多孔扶手型硅纳米带(ASiNR)和氟功能化纳米多孔硅纳米带(F-ASiNR)器件的结构、电子和气敏性能。我们通过选择性地从结构中去除硅原子,创造了各种点缺陷,包括单空(MV),离空(DV)和三空(TV)。为了实现这一目标,我们确定了最佳吸附位点、吸附能、相互作用距离和功函数值。此外,电流-电压分析证实,纳米多孔ASiNR传感器具有高灵敏度,TV结构对乙醇的响应最高,达到433%,对乙醇的选择性优于其他类型的传感器。此外,我们计算了300 K可见光下的恢复时间,其中TV传感器对甲醇和乙醇的恢复时间最短,分别为2 ms和1.36 ms。我们的研究结果表明,所提出的纳米多孔ASiNR传感器有望检测有毒voc,并且在环境监测和安全方面具有强大的实际应用潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Computational Condensed Matter
Computational Condensed Matter PHYSICS, CONDENSED MATTER-
CiteScore
3.70
自引率
9.50%
发文量
134
审稿时长
39 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信