journal article·2026-03-27Open access

DFT Modeling of Flat-Band Localization and Bias-Driven Resonances in Carbon Allotropes: An Emergent Platform for Atomically Precise Nanoelectronics

Francenildo Baia Reis, Jordan Del Nero

ACS Applied Nano Materials· Volume 9· Issue 12

Abstract

High Resolution Image Download MS PowerPoint Slide We present first-principles density functional theory calculations combined with nonequilibrium Green’s function transport simulations of the electronic structure and two-terminal conduction of OPG-Z (Octagon–Pentagon Graphene-Zigzag) nanoribbons. Careful registry and edge engineering within the pentagon–octagon carbon motif produce a wide spectrum of electronic behaviors that span narrow-gap, resonance-influenced channels and near-metallic interconnects. Two distinct armchair registries give transport gaps of approximately 0.19 and 0.46 eV, respectively. These gaps arise from quasi-flat subbands that form motif-localized states and generate pronounced peaks in the density of states together with relatively narrow, bias-activated transmission resonances. Under applied bias, alignment and misalignment of these resonances produce transition-voltage minima and weak, localized negative differential resistance (NDR) signatures when resonant lobes enter or exit the bias window; the amplitude and visibility of these features depend sensitively on contact coupling and may be limited in our devices. Eigenchannel analysis indicates that the resonant states are spatially confined to a handful of repeating pentagon–octagon units, which may explain the notable on/off contrast in certain contact configurations and the sensitivity of lineshapes to electrode coupling. Alternative edge terminations broaden spectral features and smooth the current–voltage response, whereas zigzag-derived geometries provide a higher baseline conductance suited to interconnect roles. The computed resonance energies and transition-voltage signatures provide useful, quantitative targets for low-temperature scanning tunnelling spectroscopy and single-ribbon two-probe measurements, particularly when combined with electronic decoupling strategies such as thin NaCl or hexagonal boron nitride spacers to suppress substrate hybridization. Resonance voltages lie in the subvolt to ∼1 V range and are likely best probed under cryogenic STS. Overall, OPG-Z nanoribbons appear as a promising, potentially tunable platform for carbon-based nanoelectronics in which registry and edge chemistry influence switching, sensing, and interconnect functionality.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Graphene research and applications · Molecular Junctions and Nanostructures · Carbon Nanotubes in Composites

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Pós-graduação em Física

UFPA

Faculdade de Física

Funding

Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico · Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior

References (61)

Show source-provided references
1. 10.1126/science.110289610.1126/science.1102896 ↗
2. 10.1038/nmat184910.1038/nmat1849 ↗
3. 10.1103/PhysRevB.54.1795410.1103/PhysRevB.54.17954 ↗
4. 10.1103/PhysRevLett.97.21680310.1103/PhysRevLett.97.216803 ↗
5. 10.1126/science.115087810.1126/science.1150878 ↗
6. 10.1038/nature0791910.1038/nature07919 ↗
7. 10.1038/nature0787210.1038/nature07872 ↗
8. 10.1038/nature0921110.1038/nature09211 ↗
9. 10.1038/nature1715110.1038/nature17151 ↗
10. 10.1021/nn102472s10.1021/nn102472s ↗
11. 10.1063/1.358350710.1063/1.3583507 ↗
12. 10.1039/c1ra00481f10.1039/c1ra00481f ↗
13. 10.1039/B922733D10.1039/B922733D ↗
14. 10.1126/science.abg450910.1126/science.abg4509 ↗
15. 10.1103/PhysRevLett.108.08680410.1103/PhysRevLett.108.086804 ↗
16. 10.1073/pnas.141659111210.1073/pnas.1416591112 ↗
17. 10.1103/PhysRevB.87.07545310.1103/PhysRevB.87.075453 ↗
18. 10.1039/D3TC03701K10.1039/D3TC03701K ↗
19. 10.1016/j.matlet.2022.13177610.1016/j.matlet.2022.131776 ↗
20. 10.1016/j.commatsci.2022.11145610.1016/j.commatsci.2022.111456 ↗
21. 10.1016/j.cocom.2025.e0100710.1016/j.cocom.2025.e01007 ↗
22. 10.1016/j.physe.2025.11634010.1016/j.physe.2025.116340 ↗
23. 10.1016/j.physb.2025.41803710.1016/j.physb.2025.418037 ↗
24. 10.1103/PhysRevB.65.16540110.1103/PhysRevB.65.165401 ↗
25. 10.1088/0953-8984/14/11/30210.1088/0953-8984/14/11/302 ↗
26. 10.1016/j.cpc.2016.10.01210.1016/j.cpc.2016.10.012 ↗
27. 10.1039/D5NR03423J10.1039/D5NR03423J ↗
28. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
29. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
30. 10.1103/PhysRevB.23.685110.1103/PhysRevB.23.6851 ↗
31. 10.1147/rd.13.022310.1147/rd.13.0223 ↗
32. Datta S. · 199510.1017/CBO9780511805776 ↗
33. 10.1016/j.surfin.2025.10824210.1016/j.surfin.2025.108242 ↗
34. 10.1103/PhysRevLett.68.251510.1103/PhysRevLett.68.2515 ↗
35. 10.1039/C8NR04631J10.1039/C8NR04631J ↗
36. 10.1103/PhysRevLett.101.11550210.1103/PhysRevLett.101.115502 ↗
37. 10.1063/1.273702010.1063/1.2737020 ↗
38. 10.1039/C8TA00438B10.1039/C8TA00438B ↗
39. 10.1016/j.matlet.2023.13460910.1016/j.matlet.2023.134609 ↗
40. 10.1039/D0CS01541E10.1039/D0CS01541E ↗
41. 10.1103/PhysRev.89.118910.1103/PhysRev.89.1189 ↗
42. 10.1038/s41467-019-13670-910.1038/s41467-019-13670-9 ↗
43. 10.1103/PhysRevApplied.15.05405710.1103/PhysRevApplied.15.054057 ↗
44. 10.1039/D2CP04003D10.1039/D2CP04003D ↗
45. 10.1088/1367-2630/11/9/09501610.1088/1367-2630/11/9/095016 ↗
46. 10.1021/nn100758h10.1021/nn100758h ↗
47. 10.1002/anie.20230636810.1002/anie.202306368 ↗
48. 10.1038/s42004-024-01222-210.1038/s42004-024-01222-2 ↗
49. 10.1186/s11671-018-2831-810.1186/s11671-018-2831-8 ↗
50. 10.1039/D5CP00993F10.1039/D5CP00993F ↗
51. 10.1016/j.commatsci.2018.12.03510.1016/j.commatsci.2018.12.035 ↗
52. 10.1103/PhysRevB.80.16540410.1103/PhysRevB.80.165404 ↗
53. 10.1021/acs.nanolett.5b0251210.1021/acs.nanolett.5b02512 ↗
54. 10.1039/D2CP03756A10.1039/D2CP03756A ↗
55. 10.1146/annurev.physchem.55.091602.09444910.1146/annurev.physchem.55.091602.094449 ↗
56. 10.1016/j.carbon.2017.09.08310.1016/j.carbon.2017.09.083 ↗
57. 10.1103/PhysRevLett.102.22640110.1103/PhysRevLett.102.226401 ↗
58. 10.1021/acsnano.7b0668010.1021/acsnano.7b06680 ↗
59. 10.1021/acs.nanolett.3c0332110.1021/acs.nanolett.3c03321 ↗
60. 10.1063/5.015000010.1063/5.0150000 ↗
61. 10.3390/molecules2819686610.3390/molecules28196866 ↗