pith. sign in

arxiv: 1503.00905 · v1 · pith:ASB7GYDWnew · submitted 2015-03-03 · ❄️ cond-mat.mes-hall

Self-consistent model of edge doping in graphene

classification ❄️ cond-mat.mes-hall
keywords dopantsdopingedgesedgeefficiencyfunctiongraphenegreens
0
0 comments X
read the original abstract

Dopants positioned near edges in nanostructured graphene behave differently from bulk dopants. Most notable, the amount of charge transferred to delocalized states (i.e. doping efficiency) depends on position as well as edge chirality. We apply a self-consistent tight-binding model to analyze this problem focusing on substitutional nitrogen and boron doping. Using a Greens function technique, very large structures can be studied and artificial interactions between dopants in periodically repeated simulations cells are avoided. We find pronounced signatures of edges in the local impurity density of states. Importantly, the doping efficiency is found to oscillate with sublattice position, in particular, for dopants near zigzag edges. Finally, to assess the effect of electron-electron interactions, we compute the self-energy corrected Greens function.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.