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Monte Carlo Simulation of Displacement Damage in Graphene.

Authors :
Liao, Wenjun
Alles, Michael L.
Zhang, En Xia
Fleetwood, Daniel M.
Reed, Robert A.
Weller, Robert A.
Schrimpf, Ronald D.
Source :
IEEE Transactions on Nuclear Science. Jul2019, Vol. 66 Issue 7, p1730-1737. 8p.
Publication Year :
2019

Abstract

This paper introduces a Monte Carlo (MC) approach based on the binary collision approximation to estimate defect types and densities in proton- and heavy-ion-irradiated graphene layers. The types and concentrations of defects that appear in graphene due to irradiation with various ions with energies ranging from ~100 keV to ~100 MeV are identified. This simple method enables defect introduction rates in graphene to be predicted to within better than a factor of two accuracy, relative to experimental measurements in a beam environment. The results demonstrate that all defects generated by ions with high incident energy are formed via head-on collisions and in-plane recoils, which is unique for 2-D materials. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189499
Volume :
66
Issue :
7
Database :
Academic Search Index
Journal :
IEEE Transactions on Nuclear Science
Publication Type :
Academic Journal
Accession number :
137646650
Full Text :
https://doi.org/10.1109/TNS.2019.2899579