Literature DB >> 30321839

Pristine and Cu decorated hexagonal InN monolayer, a promising candidate to detect and scavenge SF6 decompositions based on first-principle study.

Dachang Chen1, Xiaoxing Zhang2, Ju Tang1, Zhaolun Cui1, Hao Cui3.   

Abstract

We carried out the first-principle study of four types of SF6 decompositions adsorbed on pristine and Cu atom decorated hexagonal InN monolayer. The adsorption structures, adsorption energy, electron transfer, band structure, density of states and desorption properties were discussed to evaluate the possible application of InN monolayer in field of adsorbent and gas sensor. The results revealed that the pristine InN monolayer has the largest adsorption energy to SO2 with evident chemical interactions. The introduction of Cu adatom on InN monolayer significantly enhanced the chemical interactions between the InN monolayer and the SO2, SOF2, SO2F2 gas molecule but declined the adsorption energy of HF. We also investigated the electronic properties of all adsorption configurations and estimated the desorption time of every gas molecule from pristine and Cu decorated InN monolayer to evaluate the potential application in noxious gas detecting and scavenging in gas insulated switch-gear (GIS).
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cu atom; First-principle study; Gas detecting and scavenging; InN monolayer; SF(6) decompositions

Year:  2018        PMID: 30321839     DOI: 10.1016/j.jhazmat.2018.10.006

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  10 in total

1.  Adsorption mechanisms of different toxic molecular gases on intrinsic C2N and Ti-C2N-V monolayer: a DFT study.

Authors:  Yan Liu; Lifen Guo
Journal:  J Mol Model       Date:  2022-09-03       Impact factor: 2.172

2.  Monitoring Gases Content in Modern Agriculture: A Density Functional Theory Study of the Adsorption Behavior and Sensing Properties of CO2 on MoS2 Doped GeSe Monolayer.

Authors:  Xin Gao; Yunwu Li
Journal:  Sensors (Basel)       Date:  2022-05-19       Impact factor: 3.847

3.  Using Pd-Doped γ-Graphyne to Detect Dissolved Gases in Transformer Oil: A Density Functional Theory Investigation.

Authors:  Xiaoxing Zhang; Rongxing Fang; Dachang Chen; Guozhi Zhang
Journal:  Nanomaterials (Basel)       Date:  2019-10-19       Impact factor: 5.076

4.  Influence of Oxygen on the Thermal Decomposition Properties of C4F7N-N2-O2 as an Eco-Friendly Gas Insulating Medium.

Authors:  Xiaoxing Zhang; Yi Li; Xianjun Shao; Cheng Xie; Dachang Chen; Shuangshuang Tian; Song Xiao; Ju Tang
Journal:  ACS Omega       Date:  2019-10-28

5.  Cu-Doped MoSe2 Monolayer: A Novel Candidate for Dissolved Gas Analysis in Transformer Oil.

Authors:  Sunzhi Yang; Xianlin Chen; Zurong Gu; Tieyong Ling; Yanling Li; Shouxiao Ma
Journal:  ACS Omega       Date:  2020-11-16

6.  Effect of oxygen on power frequency breakdown voltage and decomposition characteristics of the C5F10O/N2/O2 gas mixture.

Authors:  Yue Zhang; Xiaoxing Zhang; Yi Li; Yalong Li; Qi Chen; Guozhi Zhang; Song Xiao; Ju Tang
Journal:  RSC Adv       Date:  2019-06-17       Impact factor: 3.361

7.  Repairing the N-vacancy in an InN monolayer using NO molecules: a first-principles study.

Authors:  Hao Cui; Dachang Chen; Chao Yan; Ying Zhang; Xiaoxing Zhang
Journal:  Nanoscale Adv       Date:  2019-03-29

8.  Rh-Doped ZnO Monolayer as a Potential Gas Sensor for Air Decomposed Species in a Ring Main Unit: A First-Principles Study.

Authors:  Yan Wang; Xin Yang; Cong Hu; Tian Wu
Journal:  ACS Omega       Date:  2021-06-09

9.  Rh-doped MoTe2 Monolayer as a Promising Candidate for Sensing and Scavenging SF6 Decomposed Species: a DFT Study.

Authors:  Hongliang Zhu; Hao Cui; Dan He; Ziwen Cui; Xiang Wang
Journal:  Nanoscale Res Lett       Date:  2020-06-15       Impact factor: 4.703

10.  First-Principles Study of Au-Doped InN Monolayer as Adsorbent and Gas Sensing Material for SF6 Decomposed Species.

Authors:  Ruochen Peng; Qu Zhou; Wen Zeng
Journal:  Nanomaterials (Basel)       Date:  2021-06-29       Impact factor: 5.076

  10 in total

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