Adsorption of dihalogen molecules on pristine graphene surface: Monte Carlo and molecular dynamics simulation studies

Berkay Sütay, Mine Yurtsever*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Weak interactions of graphene surface with reactive molecular impurities are the subject of many studies since noncovalent functionalization of surface via molecular doping is a powerful tool for tuning the electronic properties of graphene layers. In this work, the adsorption of diatomic halogen gas molecules, F2, Cl2, Br2, I2 onto bilayer and multilayer pristine graphene surfaces were studied comparatively by Monte Carlo (MC) and molecular dynamics (MD) simulation techniques in canonical ensemble. The adsorption sites, adsorption capacity, coverage factors, adsorption isotherms, and adsorption kinetics were investigated and the adsorption energies were calculated for all adsorbates. Graphene was modeled as a two-dimensional layer of 200 carbon atoms in a honeycomb arrangement. The COMPASS force field was used in the simulations. The adsorption isotherms were obtained and fitted to Langmuir model. The kinetics of adsorption was studied and found to be first order. Both the monolayer and the multilayer adsorption of halogen molecules showed that van der Waals volumes of halogen molecules and also their polarizabilities display a competitive role in the saturation capacity and the strength of surface interactions.

Original languageEnglish
Article number150
JournalJournal of Molecular Modeling
Volume23
Issue number5
DOIs
Publication statusPublished - 1 May 2017

Bibliographical note

Publisher Copyright:
© 2017, Springer-Verlag Berlin Heidelberg.

Keywords

  • Adsorption
  • Dihalogen
  • Graphene
  • Halogene Intercalation
  • Molecular dynamics
  • Monte Carlo

Fingerprint

Dive into the research topics of 'Adsorption of dihalogen molecules on pristine graphene surface: Monte Carlo and molecular dynamics simulation studies'. Together they form a unique fingerprint.

Cite this