journal article·2021-09-30Open access

Magic angle twisted bilayer graphene as a highly efficient quantum Otto engine

Ayush Singh, Colin Benjamin

Physical Review B· Volume 104· Issue 12

Abstract

At a discrete set of magic angles, twisted bilayer graphene has been shown to host extraordinarily flat bands, correlated insulating states, unconventional superconductivity, and distinct Landau level degeneracies. In this paper, we design a highly efficient quantum Otto engine using a twisted bilayer graphene sample. Flat electronic bands at magic angles make the prospect of extracting work from our Otto engine lucrative because exploiting correlated phenomena may lead to nanoscale devices operating at considerably larger efficiencies. We use an eight-band continuum model of twisted bilayer graphene to compute efficiencies and work outputs for magic and nonmagic angle twists and compare the results with an $AB$ stacked bilayer and a monolayer. It is observed that the efficiency varies smoothly with the twist angle, and the maximum is attained at the magic angle.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Graphene research and applications · Quantum and electron transport phenomena · Advanced Thermodynamics and Statistical Mechanics

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

References (40)

Show source-provided references
1. 2019
2. 10.1103/PhysRevE.76.03110510.1103/PhysRevE.76.031105 ↗
3. 10.1103/PhysRevE.79.04112910.1103/PhysRevE.79.041129 ↗
4. 10.1088/1367-2630/8/5/08310.1088/1367-2630/8/5/083 ↗
5. 10.1103/PhysRevE.72.05611010.1103/PhysRevE.72.056110 ↗
6. 10.1209/0295-5075/108/4000110.1209/0295-5075/108/40001 ↗
7. 10.1080/00107514.2016.120189610.1080/00107514.2016.1201896 ↗
8. 10.1103/PhysRevLett.87.22060110.1103/PhysRevLett.87.220601 ↗
9. 10.1103/PhysRevLett.112.03060210.1103/PhysRevLett.112.030602 ↗
10. 10.1073/pnas.111023410810.1073/pnas.1110234108 ↗
11. 10.1126/science.107895510.1126/science.1078955 ↗
12. 10.1073/pnas.121266611010.1073/pnas.1212666110 ↗
13. 10.1016/j.aop.2017.01.00310.1016/j.aop.2017.01.003 ↗
14. 10.1103/PhysRevLett.93.14040310.1103/PhysRevLett.93.140403 ↗
15. 10.1023/B:OPSY.0000047566.72717.7110.1023/B:OPSY.0000047566.72717.71 ↗
16. 10.1038/nphys182110.1038/nphys1821 ↗
17. 10.1103/PhysRevE.89.05210710.1103/PhysRevE.89.052107 ↗
18. 10.3390/e1805017310.3390/e18050173 ↗
19. 10.3390/e2105051210.3390/e21050512 ↗
20. 10.1103/PhysRevE.101.01211610.1103/PhysRevE.101.012116 ↗
21. 10.3390/e2207075510.3390/e22070755 ↗
22. 10.1103/PhysRevE.91.05215210.1103/PhysRevE.91.052152 ↗
23. 10.1073/pnas.110817410810.1073/pnas.1108174108 ↗
24. 10.1103/PhysRevB.86.15544910.1103/PhysRevB.86.155449 ↗
25. 10.1038/nature2615410.1038/nature26154 ↗
26. 10.1038/nature2616010.1038/nature26160 ↗
27. 10.1038/s41586-021-03409-210.1038/s41586-021-03409-2 ↗
28. 10.1038/s41586-021-03319-310.1038/s41586-021-03319-3 ↗
29. 10.1103/PhysRevLett.109.20300610.1103/PhysRevLett.109.203006 ↗
30. 10.1103/PhysRevLett.99.25680210.1103/PhysRevLett.99.256802 ↗
31. 10.1103/PhysRevB.84.03544010.1103/PhysRevB.84.035440 ↗
32. 10.1103/RevModPhys.83.119310.1103/RevModPhys.83.1193 ↗
33. 10.1088/0034-4885/76/5/05650310.1088/0034-4885/76/5/056503 ↗
34. 10.1103/PhysRevLett.96.08680510.1103/PhysRevLett.96.086805 ↗
35. 10.1103/PhysRevB.84.04543610.1103/PhysRevB.84.045436 ↗
36. 10.1103/PhysRevB.85.19545810.1103/PhysRevB.85.195458 ↗
37. 10.1103/PhysRevB.100.12510410.1103/PhysRevB.100.125104 ↗
38. 10.1103/PhysRevB.82.12140710.1103/PhysRevB.82.121407 ↗
39. 10.1103/PhysRevE.92.04212310.1103/PhysRevE.92.042123 ↗
40. 10.1103/PhysRevLett.123.24060110.1103/PhysRevLett.123.240601 ↗