Valley-dependent tunneling through electrostatically created quantum dots in heterostructures of graphene with hexagonal boron nitride
Source abstract
Abstract
Kelvin probe force microscopy (KPFM) has been employed to probe charge carriers in a graphene/hexagonal boron nitride (hBN) heterostructure [Nano Lett. 21, 5013 (2021)]. We propose an approach for operating valley filtering based on the KPFM-induced potential ${U}0$ instead of using external or induced pseudomagnetic fields in strained graphene. Employing a tight-binding model, we investigate the parameters and rules leading to valley filtering in the presence of a graphene quantum dot (GQD) created by the KPFM tip. This model leads to a resolution of different transport channels in reciprocal space, where the electron transmission probability at each Dirac cone (${\mathbf{K}}_{\mathbf{1}}=\ensuremath{-}\mathbf{K}$ and ${\mathbf{K}}_{\mathbf{2}}=+\mathbf{K}$) is evaluated separately. The results show that ${U}0$ and the Fermi energy ${E}F$ control (or invert) the valley polarization, if electrons are allowed to flow through a given valley. The resulting valley filtering is allowed only if the signs of ${E}F$ and ${U}0$ are the same. If they are different, the valley filtering is destroyed and might occur only at some resonant states affected by ${U}0$. Additionally, there are independent valley modes characterizing the conductance oscillations near the vicinity of the resonances, whose strength increases with ${U}0$ and are similar to those occurring in resonant tunneling in quantum antidots and to the Fabry-Perot oscillations. Using KPFM, to probe the charge carriers, and graphene-based structures to control valley transport, provides an efficient way for attaining valley filtering without involving external or pseudomagnetic fields as in previous proposals.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Graphene research and applications · Quantum and electron transport phenomena · Topological Materials and Phenomena
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (58)
Show source-provided references
1. 10.1063/5.000610110.1063/5.0006101 ↗
2. 10.1557/mrs.2020.12110.1557/mrs.2020.121 ↗
3. 10.1103/PhysRevB.103.07512910.1103/PhysRevB.103.075129 ↗
4. 10.1016/j.physrep.2020.12.00110.1016/j.physrep.2020.12.001 ↗
5. 10.1038/s41565-021-00936-x10.1038/s41565-021-00936-x ↗
6. 10.1088/1361-6528/ac9d4310.1088/1361-6528/ac9d43 ↗
7. 10.1088/1361-6528/acd8c110.1088/1361-6528/acd8c1 ↗
8. 10.1103/PhysRevB.100.16111010.1103/PhysRevB.100.161110 ↗
9. 10.1103/PhysRevLett.124.16680110.1103/PhysRevLett.124.166801 ↗
10. 10.1103/PhysRevApplied.15.03406910.1103/PhysRevApplied.15.034069 ↗
11. 10.1038/nphys54710.1038/nphys547 ↗
12. 10.1088/0953-8984/21/4/04530110.1088/0953-8984/21/4/045301 ↗
13. 10.1103/PhysRevLett.100.23680110.1103/PhysRevLett.100.236801 ↗
14. 10.1002/smll.20180148310.1002/smll.201801483 ↗
15. 10.1103/PhysRevB.90.04141110.1103/PhysRevB.90.041411 ↗
16. 10.1103/PhysRevB.94.12542210.1103/PhysRevB.94.125422 ↗
17. 10.1103/PhysRevB.101.08141010.1103/PhysRevB.101.081410 ↗
18. 10.1088/2053-1583/aaea8d10.1088/2053-1583/aaea8d ↗
19. 10.1103/PhysRevLett.106.13680610.1103/PhysRevLett.106.136806 ↗
20. 10.1116/1.470689210.1116/1.4706892 ↗
21. 10.1103/PhysRevB.87.19544510.1103/PhysRevB.87.195445 ↗
22. 10.1103/PhysRevB.85.16544610.1103/PhysRevB.85.165446 ↗
23. 10.1103/PhysRevB.90.16540410.1103/PhysRevB.90.165404 ↗
24. 10.1103/PhysRevB.92.07543110.1103/PhysRevB.92.075431 ↗
25. 10.1021/acs.nanolett.6b0254810.1021/acs.nanolett.6b02548 ↗
26. 10.1021/acs.nanolett.1c0079110.1021/acs.nanolett.1c00791 ↗
27. 10.1007/s11467-021-1125-210.1007/s11467-021-1125-2 ↗
28. 10.1038/nphys38410.1038/nphys384 ↗
29. 10.1103/PhysRevLett.124.10680210.1103/PhysRevLett.124.106802 ↗
30. 10.1103/PhysRevB.88.08140610.1103/PhysRevB.88.081406 ↗
31. 10.1039/C6NR04606A10.1039/C6NR04606A ↗
32. 10.1038/ncomms188210.1038/ncomms1882 ↗
33. 10.1038/nnano.2012.9510.1038/nnano.2012.95 ↗
34. 10.1038/nnano.2012.9610.1038/nnano.2012.96 ↗
35. 10.1038/nphys211110.1038/nphys2111 ↗
36. 10.1038/nmat369410.1038/nmat3694 ↗
37. 10.1038/nphys355110.1038/nphys3551 ↗
38. 10.1088/2515-7639/aad58510.1088/2515-7639/aad585 ↗
39. 10.1103/PhysRevB.76.07310310.1103/PhysRevB.76.073103 ↗
40. 10.1088/1742-6596/245/1/01203010.1088/1742-6596/245/1/012030 ↗
41. 10.1038/nphys380510.1038/nphys3805 ↗
42. H. V. Grushevskaya · 2018
43. 10.1103/PhysRevLett.102.09680110.1103/PhysRevLett.102.096801 ↗
44. 10.1088/0034-4885/79/6/06650110.1088/0034-4885/79/6/066501 ↗
45. 10.1126/science.267.5200.101010.1126/science.267.5200.1010 ↗
46. 10.1103/PhysRevB.100.24513010.1103/PhysRevB.100.245130 ↗
47. 10.1103/PhysRevB.76.15530510.1103/PhysRevB.76.155305 ↗
48. 10.1038/nphys380610.1038/nphys3806 ↗
49. 10.1103/PhysRevLett.98.01680210.1103/PhysRevLett.98.016802 ↗
50. 10.1103/RevModPhys.78.27510.1103/RevModPhys.78.275 ↗
51. 10.1103/PhysRevLett.115.10660110.1103/PhysRevLett.115.106601 ↗
52. D. Moldovan · Zenodo · 2017
53. 10.1016/j.cocom.2020.e0049310.1016/j.cocom.2020.e00493 ↗
54. 10.1142/S201032471950005X10.1142/S201032471950005X ↗
55. 10.1088/1367-2630/16/6/06306510.1088/1367-2630/16/6/063065 ↗
56. 10.21468/SciPostPhys.4.5.02610.21468/SciPostPhys.4.5.026 ↗
57. 10.1103/PhysRevB.81.03511610.1103/PhysRevB.81.035116 ↗
58. 10.1103/PhysRevB.106.03541610.1103/PhysRevB.106.035416 ↗