Effect of Ni Doping and Vacancy Defects on the Sensing Characteristics of Graphene for NO2 and CO Detection: A DFT Study

Lesego M. Mohlala, Tien Chien Jen, Peter A. Olubambi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The sensing characteristics of pristine, Ni-doped and C-vacancy graphene towards CO and NO2 gases were studied using density functional theory (DFT). The most stable geometries, electronic properties, adsorption energies, and charge transfer were evaluated to understand the gas-surface interaction mechanisms. Both pristine and vacancy graphene have smaller CO and NO2 adsorption energies and charge transfer than the Ni-doped graphene, whereas the adsorption energy on Ni-doped vacancy graphene is higher than that of Ni-doped graphene. The results indicate that both CO and NO2 gas molecules only attach to pristine graphene through weak physical adsorption. Stronger chemisorption occurs when the gas molecules adsorb on the vacancy, Ni-doped, and Ni-doped vacancy graphene surfaces. Additionally, the results demonstrated that Ni-doped vacancy graphene has higher sensitivity and selectivity towards the NO2.

Original languageEnglish
Title of host publicationMaterials and Technologies for Sustainability - Selected peer-reviewed full text papers from the International Conference on Sustainable Engineering and Materials Development, ICSEMD 2021
EditorsAbiodun A. Abioye, Bukola J. Babalola, Olufemi E. Bamidele, Oluseyi O. Ajayi
PublisherTrans Tech Publications Ltd
Pages170-181
Number of pages12
ISBN (Print)9783035726466
DOIs
Publication statusPublished - 2022
EventInternational Conference on Sustainable Engineering and Materials Development, ICSEMD 2021 - Virtual, Online
Duration: 22 Sept 202124 Sept 2021

Publication series

NameKey Engineering Materials
Volume917 KEM
ISSN (Print)1013-9826
ISSN (Electronic)1662-9795

Conference

ConferenceInternational Conference on Sustainable Engineering and Materials Development, ICSEMD 2021
CityVirtual, Online
Period22/09/2124/09/21

Keywords

  • Adsorption
  • CO
  • Density functional theory (DFT)
  • Gas sensor
  • NO2
  • Ni-doped graphene
  • vacancy

ASJC Scopus subject areas

  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Effect of Ni Doping and Vacancy Defects on the Sensing Characteristics of Graphene for NO2 and CO Detection: A DFT Study'. Together they form a unique fingerprint.

Cite this