Balanced High Thermoelectric Performance in n-Type and p-Type CuAgSe Realized through Vacancy Manipulation
Source abstract
Abstract
As a liquid-like material, CuAgSe has high carrier mobility and ultralow lattice thermal conductivity. It undergoes an n–p conduction-type transition during β- to α-phase transition with increasing temperature. Moreover, optimization of the thermoelectric performance of CuAgSe is rather difficult, owing to the two-carrier conduction in this material. In this work, we reported the free tuning of the conduction type and thermoelectric performance of CuAgSe by manipulating the cation vacancies. Positron annihilation measurements reveal that the increase in CuAg content can effectively suppress the cation vacancies and reduce the hole carrier concentration, resulting in n-type conduction at high temperatures. Doping with Zn at the Cu sublattice in the CuAg-excessive CuAgSe can further decrease the number of vacancies, leading to a significant decrease in hole carrier concentration. Furthermore, the reduction of vacancies leads to weakening of carrier scattering. As a result, carrier mobility is also enhanced, thus improving the thermoelectric performance of n-type CuAgSe. On the other hand, high-performance p-type CuAgSe can be achieved by decreasing the CuAg content to introduce more cation vacancies. Ultimately, both n-type and p-type CuAgSe with superb thermoelectric performance are obtained, with a zT max of 0.84 in Cu 1.01 Ag 1.02 Zn 0.01 Se (n-type) and 1.05 in (CuAg) 0.96 Se (p-type) at 600 K and average zT of 0.77 and 0.94 between 470 and 630 K for n-type and p-type, respectively.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Thermoelectric Materials and Devices · Chalcogenide Semiconductor Thin Films · Quantum Dots Synthesis And Properties
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Hubei Nuclear Solid Physics Key Laboratory, Department of Physics, Wuhan University, Wuhan 430072, China
State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, China
Funding
National Key Research and Development Program of China · National Natural Science Foundation of China
References (60)
Show source-provided references
1. 10.1126/science.285.5428.70310.1126/science.285.5428.703 ↗
2. 10.1126/science.abi866810.1126/science.abi8668 ↗
3. 10.1063/1.495405510.1063/1.4954055 ↗
4. 10.1007/s10973-007-8336-910.1007/s10973-007-8336-9 ↗
5. 10.1063/5.000374910.1063/5.0003749 ↗
6. 10.1002/adma.20200593110.1002/adma.202005931 ↗
7. Slack G. A. · 1995
8. 10.1038/nmat446110.1038/nmat4461 ↗
9. 10.1016/j.nanoen.2017.10.00310.1016/j.nanoen.2017.10.003 ↗
10. 10.1038/s41467-019-08685-110.1038/s41467-019-08685-1 ↗
11. 10.1103/PhysRevB.107.12520210.1103/PhysRevB.107.125202 ↗
12. 10.1039/C9EE00317G10.1039/C9EE00317G ↗
13. 10.1002/advs.20170034110.1002/advs.201700341 ↗
14. 10.1002/adfm.20180358610.1002/adfm.201803586 ↗
15. 10.1039/D1TA09377K10.1039/D1TA09377K ↗
16. 10.1002/adfm.20190178910.1002/adfm.201901789 ↗
17. 10.1016/j.nanoen.2021.10670610.1016/j.nanoen.2021.106706 ↗
18. 10.1039/C8TA08248K10.1039/C8TA08248K ↗
19. 10.1016/j.nanoen.2017.03.01210.1016/j.nanoen.2017.03.012 ↗
20. 10.1021/acsenergylett.7b0081310.1021/acsenergylett.7b00813 ↗
21. 10.1039/D2TA03114K10.1039/D2TA03114K ↗
22. 10.1038/nmat327310.1038/nmat3273 ↗
23. 10.1039/C7EE01193H10.1039/C7EE01193H ↗
24. 10.1002/anie.20221288510.1002/anie.202212885 ↗
25. 10.1039/C5TA01266J10.1039/C5TA01266J ↗
26. 10.1039/C4TA04056B10.1039/C4TA04056B ↗
27. 10.1016/j.cej.2019.05.17910.1016/j.cej.2019.05.179 ↗
28. 10.1002/smll.20210459210.1002/smll.202104592 ↗
29. 10.1038/s41467-019-08835-510.1038/s41467-019-08835-5 ↗
30. 10.1016/j.cej.2022.13473910.1016/j.cej.2022.134739 ↗
31. 10.1524/zkri.1957.108.5-6.38910.1524/zkri.1957.108.5-6.389 ↗
32. 10.1038/nmat362110.1038/nmat3621 ↗
33. 10.1007/s10973-005-0813-410.1007/s10973-005-0813-4 ↗
34. 10.1103/PhysRevB.68.01411710.1103/PhysRevB.68.014117 ↗
35. 10.1021/ic502102e10.1021/ic502102e ↗
36. 10.1021/ja510433j10.1021/ja510433j ↗
37. 10.1016/j.ssi.2014.03.02510.1016/j.ssi.2014.03.025 ↗
38. 10.1016/j.mtphys.2019.10009510.1016/j.mtphys.2019.100095 ↗
39. 10.1039/D2TA08923H10.1039/D2TA08923H ↗
40. 10.1007/s10789-005-0134-910.1007/s10789-005-0134-9 ↗
41. 10.1016/0022-1902(78)80152-310.1016/0022-1902(78)80152-3 ↗
42. 10.1016/0368-2048(78)85029-410.1016/0368-2048(78)85029-4 ↗
43. 10.1007/s11664-013-2506-210.1007/s11664-013-2506-2 ↗
44. 10.1016/j.jallcom.2004.04.11910.1016/j.jallcom.2004.04.119 ↗
45. Dupasquier A. · 1995
46. Krause-Rehberg R. · 1999 · 12710.1007/978-3-662-03893-2 ↗
47. 10.1063/1.512689910.1063/1.5126899 ↗
48. 10.1103/PhysRevB.99.03530610.1103/PhysRevB.99.035306 ↗
49. 10.1021/acsami.1c1881810.1021/acsami.1c18818 ↗
50. 10.1039/D1EE03883D10.1039/D1EE03883D ↗
51. 10.1039/D1TA10711A10.1039/D1TA10711A ↗
52. 10.1002/adfm.20221376110.1002/adfm.202213761 ↗
53. Kirkegaard, P.; Pedersen, N. J.; Eldrup, M. PATFIT-88: A Data Processing System for Positron Annihilation Spectra on Mainframe and Personal Computers. In Risϕ National Laboratory Reports, 1989; pp 1–119.
54. 10.1016/j.jallcom.2020.15709410.1016/j.jallcom.2020.157094 ↗
55. Nolas G. S. · 2001 · 4510.1007/978-3-662-04569-5 ↗
56. 10.1039/C8TA01531G10.1039/C8TA01531G ↗
57. 10.1039/C5TA06780D10.1039/C5TA06780D ↗
58. 10.1039/D0TA00174K10.1039/D0TA00174K ↗
59. 10.1039/D1EE03339E10.1039/D1EE03339E ↗
60. 10.1039/D2TA05287C10.1039/D2TA05287C ↗