2018
DOI: 10.1103/physrevb.98.205123
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Screening of long-range Coulomb interaction in graphene nanoribbons: Armchair versus zigzag edges

Abstract: We study the electronic screening of the long-range Coulomb interaction in graphene nanoribbons (GNRs) with armchair and zigzag edges as a function of the ribbon width by employing ab initio calculations in conjunction with the random-phase approximation. We find that in GNRs with armchair edges quantum confinement effects lead to oscillatory behavior of the on-site screened Coulomb interaction with the ribbon width. Furthermore, the reduced dimensionality and the existence of a band gap result in a nonconvent… Show more

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Cited by 19 publications
(6 citation statements)
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“…However, it is well-known that the long-range part of the electron-electron Coulomb interaction is not screened in single-layer graphene. This suggests that the interactions beyond nearest neighbor distance can also have a crucial impact on physics of graphene nanosystems, which is confirmed by ab initio calculations [40]. Although there are several papers focused on investigating the effects of long-range interaction in graphene nanoflakes beyond the nearest-neighbor interactions [9,34,[41][42][43], most of them are limited to the 1/r [41,42] or 1/ √ r 2 + a 2 [34] dependence of non-local potential on distance r, the parameter a accounts for finite radius of graphene π orbitals.…”
Section: Introductionsupporting
confidence: 54%
“…However, it is well-known that the long-range part of the electron-electron Coulomb interaction is not screened in single-layer graphene. This suggests that the interactions beyond nearest neighbor distance can also have a crucial impact on physics of graphene nanosystems, which is confirmed by ab initio calculations [40]. Although there are several papers focused on investigating the effects of long-range interaction in graphene nanoflakes beyond the nearest-neighbor interactions [9,34,[41][42][43], most of them are limited to the 1/r [41,42] or 1/ √ r 2 + a 2 [34] dependence of non-local potential on distance r, the parameter a accounts for finite radius of graphene π orbitals.…”
Section: Introductionsupporting
confidence: 54%
“…We can conclude that the PBE+U functional with U=5.0 eV is the best among all the DFT functionals reported in this work, in terms of geometry, electron localization, magnetic moment, and AFM stabilization energy. The optimal U repulsion strength in PBE+U is in a very good agreement with its cRPA-PBE determination 35 , and with a previous estimate based on the measured magnitude of ZGNR gaps and on the semiconductor-metal transition ZGNR width, found experimentally 12 . Hence, it would be rather safe to extend the use of PBE+U from 2-ZGNR to computing materials properties of analogous C-based systems, with a graphene pattern: nanotubes, nanoribbons, graphene impurities with doping and magnetism.…”
Section: Discussionsupporting
confidence: 87%
“…Thus, we relaxed the geometry within DFT+U at a given U value and we then computed the final corresponding M. In this way, we found U=5.0 eV (U=7.6 eV) as optimal value in PBE+U (LDA+U). Interestingly enough, these values are fully in range with those predicted by restricted random phase approximation (cRPA) calculations 35 of ZGNRs, further strengthening our procedure. Indeed, sitespecific cRPA estimates of the local U repulsion, based on the same PBE functional, show a reduction from the "bulk" value of graphene (U=9.3 eV) 32,34 to the edge value of ≈ 5 eV, in nice agreement with our findings.…”
Section: B Ground-state Properties From Dft and Comparison With Qmcsupporting
confidence: 80%
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“…From a theoretical point of view, according to the Mermin-Wagner theorem [7], long-range magnetic order is not possible in 2D systems at finite temperatures, but this restriction is removed by magnetic anisotropy, which enables the formation of long-range magnetic order even in monolayers. Several standard approaches such as adsorption of atoms [8][9][10][11][12], point defects [13][14][15][16][17], and edge engineering [18][19][20][21][22] were developed to induce ferromagnetism in graphene and other graphene-like 2D materials. But these systematic ways are not well controlled for realistic applications.…”
Section: Introductionmentioning
confidence: 99%