Optimized Carrier Concentration and Reduced Thermal Conductivity in Cu-Deficient CuGaTe 2 Alloyed with AgSbTe 2 for Superior Thermoelectric Performance
Source abstract
Abstract
As a mid-temperature thermoelectric material, CuGaTe 2 features a distinctive crystal structure, environmentally friendly and high tunability, all of which contribute to its promising thermoelectric performance. However, due to its intrinsically low electrical conductivity and high lattice thermal conductivity, the thermoelectric performance of pristine CuGaTe 2 is unsatisfactory. In this work, Cu-deficient Cu 0.96 GaTe 2 was alloyed with different contents of AgSbTe 2 via a combined approach involving melting, ball milling, and spark plasma sintering. The Cu-poor condition introduces Cu vacancies, thereby providing more hole carriers. AgSbTe 2 alloying leads to a further increase in the carrier concentration. Despite of the decrease in carrier mobility, the electrical conductivity was evidently enhanced. On the other hand, Sb doping increases the density of states at the Fermi level, leading to enhancement of the Seebeck coefficient. Moreover, Cu vacancies and AgSbTe 2 alloying both cause a significant decrease in sound velocity, thereby decreasing the lattice thermal conductivity to an ultralow value of 0.29 W m –1 K –1 at 743 K. Finally, the optimized (Cu 0.96 GaTe 2 ) 0.9 (AgSbTe 2 ) 0.1 sample demonstrates the highest thermoelectric performance, achieving an average zT of 0.41, which represents a 215.4% improvement over pristine CuGaTe 2 . Its peak zT reaches 1.39 at 743 K, corresponding to a 124.2% improvement relative to pristine CuGaTe 2 .
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Thermoelectric Materials and Devices · Copper-based nanomaterials and applications · Heusler alloys: electronic and magnetic 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
School of Science
Hubei University of Technology
Funding
National Natural Science Foundation of China
References (72)
Show source-provided references
1. 10.1016/j.rser.2016.06.03510.1016/j.rser.2016.06.035 ↗
2. 10.1038/nmat209010.1038/nmat2090 ↗
3. 10.1016/j.enpol.2017.10.01610.1016/j.enpol.2017.10.016 ↗
4. 10.1039/D4CS00361F10.1039/D4CS00361F ↗
5. 10.1126/science.115889910.1126/science.1158899 ↗
6. 10.1002/advs.20251241710.1002/advs.202512417 ↗
7. 10.1126/science.add702910.1126/science.add7029 ↗
8. 10.1016/j.enconman.2012.07.02010.1016/j.enconman.2012.07.020 ↗
9. 10.1016/j.mser.2018.09.00110.1016/j.mser.2018.09.001 ↗
10. 10.1080/00018732.2018.155171510.1080/00018732.2018.1551715 ↗
11. 10.1016/j.cej.2021.13369910.1016/j.cej.2021.133699 ↗
12. 10.1016/j.jallcom.2023.17257410.1016/j.jallcom.2023.172574 ↗
13. 10.1016/j.jmat.2025.10111510.1016/j.jmat.2025.101115 ↗
14. 10.1016/j.cej.2025.16753110.1016/j.cej.2025.167531 ↗
15. 10.1039/D2TA02534E10.1039/D2TA02534E ↗
16. 10.1016/j.apmt.2025.10278310.1016/j.apmt.2025.102783 ↗
17. 10.1021/acsaem.5c0025310.1021/acsaem.5c00253 ↗
18. 10.35848/1347-4065/ae062f10.35848/1347-4065/ae062f ↗
19. 10.1016/j.jallcom.2021.15938110.1016/j.jallcom.2021.159381 ↗
20. 10.1016/j.nanoen.2018.10.06910.1016/j.nanoen.2018.10.069 ↗
21. 10.1038/s41467-022-34227-310.1038/s41467-022-34227-3 ↗
22. 10.1016/j.mtphys.2021.10035510.1016/j.mtphys.2021.100355 ↗
23. 10.1002/smll.20250251010.1002/smll.202502510 ↗
24. 10.1002/adfm.20210155410.1002/adfm.202101554 ↗
25. 10.1016/j.jallcom.2022.16482710.1016/j.jallcom.2022.164827 ↗
26. 10.1016/j.jcis.2025.13879410.1016/j.jcis.2025.138794 ↗
27. 10.1021/acsami.4c0214110.1021/acsami.4c02141 ↗
28. 10.1002/adfm.20240349810.1002/adfm.202403498 ↗
29. 10.1002/smll.20240886410.1002/smll.202408864 ↗
30. 10.1002/adfm.20200586110.1002/adfm.202005861 ↗
31. 10.1016/j.cej.2024.15158810.1016/j.cej.2024.151588 ↗
32. 10.1002/adma.20120073210.1002/adma.201200732 ↗
33. 10.1002/smll.20220686510.1002/smll.202206865 ↗
34. 10.1039/C6TA10770B10.1039/C6TA10770B ↗
35. 10.1002/aesr.20230006910.1002/aesr.202300069 ↗
36. 10.1021/acsaelm.5c0072010.1021/acsaelm.5c00720 ↗
37. 10.1039/C6TA11120C10.1039/C6TA11120C ↗
38. 10.1021/acs.chemmater.2c0186910.1021/acs.chemmater.2c01869 ↗
39. 10.1016/j.cej.2021.13180710.1016/j.cej.2021.131807 ↗
40. 10.1016/j.jmat.2018.02.00210.1016/j.jmat.2018.02.002 ↗
41. 10.1021/acsaem.0c0238610.1021/acsaem.0c02386 ↗
42. 10.1016/j.jmat.2025.10108910.1016/j.jmat.2025.101089 ↗
43. 10.1021/acsami.4c0045510.1021/acsami.4c00455 ↗
44. 10.1021/acsami.3c0592910.1021/acsami.3c05929 ↗
45. 10.1039/D4TA08348B10.1039/D4TA08348B ↗
46. 10.1021/acsaelm.5c0158210.1021/acsaelm.5c01582 ↗
47. 10.1021/acsami.2c0755710.1021/acsami.2c07557 ↗
48. 10.1021/jacs.1c0180110.1021/jacs.1c01801 ↗
49. 10.1002/adma.20190521010.1002/adma.201905210 ↗
50. 10.1016/j.jmst.2022.04.01910.1016/j.jmst.2022.04.019 ↗
51. 10.1002/adma.20240927510.1002/adma.202409275 ↗
52. 10.1126/science.abb351710.1126/science.abb3517 ↗
53. 10.1039/C8TC06491A10.1039/C8TC06491A ↗
54. 10.1063/1.510946510.1063/1.5109465 ↗
55. 10.1021/acsami.4c1230710.1021/acsami.4c12307 ↗
56. 10.1063/5.009512110.1063/5.0095121 ↗
57. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
58. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
59. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
60. 10.1016/j.susc.2005.08.01510.1016/j.susc.2005.08.015 ↗
61. 10.1039/C2TA00157H10.1039/C2TA00157H ↗
62. 10.1021/acs.jpcc.4c0260210.1021/acs.jpcc.4c02602 ↗
63. 10.1016/j.jallcom.2023.16875110.1016/j.jallcom.2023.168751 ↗
64. 10.1016/j.inoche.2024.11372910.1016/j.inoche.2024.113729 ↗
65. 10.1039/C8TA04379E10.1039/C8TA04379E ↗
66. 10.1103/PhysRev.133.A114310.1103/PhysRev.133.A1143 ↗
67. 10.1016/0022-3697(73)90092-910.1016/0022-3697(73)90092-9 ↗
68. 10.1002/adma.20190010810.1002/adma.201900108 ↗
69. 10.1016/j.rinp.2019.10276510.1016/j.rinp.2019.102765 ↗
70. 10.1021/jacs.2c1317910.1021/jacs.2c13179 ↗
71. 10.1002/smll.20251055110.1002/smll.202510551 ↗
72. 10.1016/j.commatsci.2018.10.03810.1016/j.commatsci.2018.10.038 ↗