journal article·2023-12-11

Intrinsic Modulation Doping Enhances the Thermoelectric Performance of Monolayer GaGeTe

Mohammad Rafiee Diznab, Yi Xia, S. Shahab Naghavi

ACS Applied Energy Materials· Volume 6· Issue 23
Publisher page

Abstract

Modulation doping is a well-known approach for improving the efficiency of bulk thermoelectrics, yet its application to 2D materials has remained elusive. Our thorough first-principles calculations reveal a unique intrinsic modulation doping in monolayer GaGeTe that synergistically raises its electrical transport coefficients while dwarfing its lattice heat transport, resulting in a high thermoelectric figure of merit, zT . Herein, we envision 2D GaGeTe as a chair-like germanene monolayer shrouded by two GaTe layers. The germanene layer donates electrons to the outer GaTe, creating a spatial separation between the electron-donation center and charge transport channels, a feature that suppresses free carrier scattering. Our accurate electron–phonon calculations explain that electrical transport in GaGeTe results from the metallic nature of germanene combined with the Mexican-hat shape of the GaTe valence band. The superior electrical and poor heat transport coefficients turn GaGeTe into a promising p-type thermoelectric monolayer working at moderate carrier concentrations of ≈10 13 cm –2 . The presented results put forward a distinct design approach for identifying competent thermoelectrics among 2D materials whose frail structures cannot tolerate heavy doping.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Thermoelectric Materials and Devices · 2D Materials and Applications · Perovskite Materials and Applications

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

Affiliations

Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada

Department of Mechanical and Materials Engineering, Portland State University, 1825 SW Broadway, Portland, Oregon 97201, United States

Department of Physical and Computational Chemistry, Shahid Beheshti University, Tehran 1983969411, Iran

Funding

Shahid Beheshti University

References (70)

Show source-provided references
1. 10.1134/1.113084910.1134/1.1130849 ↗
2. 10.1126/sciadv.aaw053610.1126/sciadv.aaw0536 ↗
3. 10.1126/science.aaa416610.1126/science.aaa4166 ↗
4. 10.1021/acsami.9b1454810.1021/acsami.9b14548 ↗
5. 10.1063/1.499469610.1063/1.4994696 ↗
6. 10.1021/nl401831u10.1021/nl401831u ↗
7. 10.1007/s40820-017-0152-610.1007/s40820-017-0152-6 ↗
8. 10.1021/nl201206d10.1021/nl201206d ↗
9. 10.1021/ja507945h10.1021/ja507945h ↗
10. 10.1021/acs.nanolett.0c0349310.1021/acs.nanolett.0c03493 ↗
11. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
12. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
13. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
14. 10.1016/j.cpc.2014.02.01510.1016/j.cpc.2014.02.015 ↗
15. 10.1103/PhysRevB.78.13410610.1103/PhysRevB.78.134106 ↗
16. 10.1038/s41467-021-22440-510.1038/s41467-021-22440-5 ↗
17. 10.1002/jcc.2430010.1002/jcc.24300 ↗
18. 10.1016/j.jssc.2012.03.03010.1016/j.jssc.2012.03.030 ↗
19. 10.1063/1.499835010.1063/1.4998350 ↗
20. 10.1103/PhysRevB.29.577410.1103/PhysRevB.29.5774 ↗
21. 10.1016/j.jmat.2020.04.00510.1016/j.jmat.2020.04.005 ↗
22. 10.1063/1.481232310.1063/1.4812323 ↗
23. 10.1039/C7TC03001K10.1039/C7TC03001K ↗
24. 10.1103/PhysRevB.60.887110.1103/PhysRevB.60.8871 ↗
25. 10.1063/1.512456310.1063/1.5124563 ↗
26. 10.1002/smll.20140204110.1002/smll.201402041 ↗
27. 10.1021/acs.nanolett.5b0008510.1021/acs.nanolett.5b00085 ↗
28. 10.1039/C4RA01802H10.1039/C4RA01802H ↗
29. 10.1021/am501022x10.1021/am501022x ↗
30. 10.1002/adma.20160555110.1002/adma.201605551 ↗
31. 10.1002/adfm.20190101210.1002/adfm.201901012 ↗
32. 10.1007/s12274-014-0430-210.1007/s12274-014-0430-2 ↗
33. 10.1038/s41467-022-29054-510.1038/s41467-022-29054-5 ↗
34. 10.1103/PhysRevB.67.04532710.1103/PhysRevB.67.045327 ↗
35. 10.1021/acsaem.3c0019810.1021/acsaem.3c00198 ↗
36. 10.1038/nmat382610.1038/nmat3826 ↗
37. 10.1016/j.mtadv.2022.10030910.1016/j.mtadv.2022.100309 ↗
38. 10.1063/1.506356010.1063/1.5063560 ↗
39. 10.1038/nmat227310.1038/nmat2273 ↗
40. Subhash L. · 2005
41. 10.1021/cm504244b10.1021/cm504244b ↗
42. 10.1063/1.494282710.1063/1.4942827 ↗
43. 10.1038/s41524-023-00964-210.1038/s41524-023-00964-2 ↗
44. 10.1016/j.jcrysgro.2013.05.03610.1016/j.jcrysgro.2013.05.036 ↗
45. 10.1103/physrevlett.105.13680510.1103/physrevlett.105.136805 ↗
46. 10.1103/physrevb.85.20530210.1103/physrevb.85.205302 ↗
47. 10.1002/pssa.20170021810.1002/pssa.201700218 ↗
48. 10.1002/adfm.20110211110.1002/adfm.201102111 ↗
49. 10.1021/acs.nanolett.9b0392810.1021/acs.nanolett.9b03928 ↗
50. 10.1126/science.115644610.1126/science.1156446 ↗
51. 10.1063/1.479453410.1063/1.4794534 ↗
52. 10.1063/1.492855910.1063/1.4928559 ↗
53. 10.1103/PhysRevB.103.16540610.1103/PhysRevB.103.165406 ↗
54. 10.1063/1.513865110.1063/1.5138651 ↗
55. 10.1039/D3NR00304C10.1039/D3NR00304C ↗
56. 10.1103/PhysRevB.97.20520710.1103/PhysRevB.97.205207 ↗
57. 10.1103/PhysRevB.98.20520210.1103/PhysRevB.98.205202 ↗
58. 10.1103/PhysRevB.94.08541510.1103/PhysRevB.94.085415 ↗
59. 10.1103/PhysRevB.85.11531710.1103/PhysRevB.85.115317 ↗
60. 10.1021/acsnano.6b0558010.1021/acsnano.6b05580 ↗
61. 10.1103/PhysRevB.95.16520410.1103/PhysRevB.95.165204 ↗
62. 10.1103/PhysRevB.72.08512610.1103/PhysRevB.72.085126 ↗
63. 10.1103/PhysRevB.97.20520310.1103/PhysRevB.97.205203 ↗
64. 10.1063/1.480954510.1063/1.4809545 ↗
65. 10.1039/C5TC02252E10.1039/C5TC02252E ↗
66. 10.1063/1.490134210.1063/1.4901342 ↗
67. 10.1021/acsami.6b1413410.1021/acsami.6b14134 ↗
68. 10.1021/acs.chemmater.8b0191410.1021/acs.chemmater.8b01914 ↗
69. 10.1021/acsaem.3c0149310.1021/acsaem.3c01493 ↗
70. 10.1103/PhysRevB.104.18430110.1103/PhysRevB.104.184301 ↗