journal article·2021-10

Optimizing Electronic Quality Factor toward High‐Performance Ge1−x−yTaxSbyTe Thermoelectrics: The Role of Transition Metal Doping

Meng Li, Qiang Sun, Sheng‐Duo Xu, Min Hong, Wan‐Yu Lyu, Ji‐Xing Liu, Yuan Wang, Matthew Dargusch, Jin Zou, Zhi‐Gang Chen

Advanced Materials· Volume 33· Issue 40
Publisher page

Abstract

Abstract Owing to high intrinsic figure‐of‐merit implemented by multi‐band valleytronics, GeTe‐based thermoelectric materials are promising for medium‐temperature applications. Transition metals are widely used as dopants for developing high‐performance GeTe thermoelectric materials. Herein, relevant work is critically reviewed to establish a correlation among transition metal doping, electronic quality factor, and figure‐of‐merit of GeTe. From first‐principle calculations, it is found that Ta, as an undiscovered dopant in GeTe, can effectively converge energy offset between light and heavy conduction band extrema to enhance effective mass at high temperature. Such manipulation is verified by the increased Seebeck coefficient of synthesized Ge1−x−yTaxSbyTe samples from 160 to 180 µV K−1 at 775 K upon doping Ta, then to 220 µV K−1 with further alloying Sb. Characterization using electron microscopy also reveals the unique herringbone structure associated with multi‐scale lattice defects induced by Ta doping, which greatly hinder phonon propagation to decrease thermal conductivity. As a result, a figure‐of‐merit of ≈2.0 is attained in the Ge0.88Ta0.02Sb0.10Te sample, reflecting a maximum heat‐to‐electricity efficiency up to 17.7% under a temperature gradient of 400 K. The rationalized beneficial effects stemming from Ta doping is an important observation that will stimulate new exploration toward high‐performance GeTe‐based thermoelectric materials.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Thermoelectric Materials and Devices · Chalcogenide Semiconductor Thin Films · Phase-change materials and chalcogenides

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

Affiliations

School of Mechanical and Mining Engineering The University of Queensland Brisbane Queensland 4072 Australia

Centre for Future Materials University of Southern Queensland Springfield Central Queensland 4300 Australia

Superconducting Materials Research Centre Northwest Institute for Nonferrous Metal Research Xi'an 710016 China

Centre for Microscopy and Microanalysis The University of Queensland Brisbane Queensland 4072 Australia

Funding

Australian Research Council

References (50)

Show source-provided references
1. 10.1126/science.aak999710.1126/science.aak9997 ↗
2. 10.1021/acs.chemrev.0c0002610.1021/acs.chemrev.0c00026 ↗
3. 10.1016/j.rser.2021.11080010.1016/j.rser.2021.110800 ↗
4. 10.3390/e1308148110.3390/e13081481 ↗
5. 10.1016/j.trechm.2020.11.00110.1016/j.trechm.2020.11.001 ↗
6. 10.1201/978142003890310.1201/9781420038903 ↗
7. 10.1016/j.mattod.2018.03.03910.1016/j.mattod.2018.03.039 ↗
8. 10.1002/adma.20160588410.1002/adma.201605884 ↗
9. 10.1039/D0EE03520C10.1039/D0EE03520C ↗
10. 10.1088/1674-1056/27/4/04840310.1088/1674-1056/27/4/048403 ↗
11. 10.1002/adfm.20170327810.1002/adfm.201703278 ↗
12. 10.1038/s41535-018-0127-y10.1038/s41535-018-0127-y ↗
13. 10.1039/C6TC02501C10.1039/C6TC02501C ↗
14. 10.1002/aenm.20200036710.1002/aenm.202000367 ↗
15. 10.1016/j.joule.2018.02.01610.1016/j.joule.2018.02.016 ↗
16. 10.1039/C9EE00317G10.1039/C9EE00317G ↗
17. 10.1021/jacs.8b0937510.1021/jacs.8b09375 ↗
18. 10.1002/adma.20170271210.1002/adma.201702712 ↗
19. 10.1002/adma.20180707110.1002/adma.201807071 ↗
20. 10.1016/j.joule.2020.07.02110.1016/j.joule.2020.07.021 ↗
21. 10.1021/jacs.8b0914710.1021/jacs.8b09147 ↗
22. 10.1002/aenm.20120097010.1002/aenm.201200970 ↗
23. 10.1039/D0TA06710E10.1039/D0TA06710E ↗
24. 10.1002/aenm.20200258810.1002/aenm.202002588 ↗
25. 10.1016/j.nanoen.2020.10474010.1016/j.nanoen.2020.104740 ↗
26. 10.1073/pnas.180202011510.1073/pnas.1802020115 ↗
27. 10.1039/D0EE01004A10.1039/D0EE01004A ↗
28. 10.1002/aenm.20180183710.1002/aenm.201801837 ↗
29. 10.1016/j.nanoen.2019.10434710.1016/j.nanoen.2019.104347 ↗
30. 10.1021/jacs.7b1361110.1021/jacs.7b13611 ↗
31. 10.1063/1.498340410.1063/1.4983404 ↗
32. 10.1016/j.mtphys.2019.10009410.1016/j.mtphys.2019.100094 ↗
33. 10.1126/sciadv.abc072610.1126/sciadv.abc0726 ↗
34. 10.1038/nmat222610.1038/nmat2226 ↗
35. 10.1002/adma.20180178710.1002/adma.201801787 ↗
36. 10.1016/j.actamat.2015.03.01510.1016/j.actamat.2015.03.015 ↗
37. 10.1021/acs.chemmater.5b0343410.1021/acs.chemmater.5b03434 ↗
38. 10.1016/j.joule.2019.08.01710.1016/j.joule.2019.08.017 ↗
39. 10.1021/jacs.8b1262410.1021/jacs.8b12624 ↗
40. 10.1039/C7EE03256K10.1039/C7EE03256K ↗
41. 10.1103/PhysRev.113.104610.1103/PhysRev.113.1046 ↗
42. 10.1039/C9MH00543A10.1039/C9MH00543A ↗
43. 10.1016/0921-4526(93)90108-I10.1016/0921-4526(93)90108-I ↗
44. 10.1046/j.1365-2818.1998.3070861.x10.1046/j.1365-2818.1998.3070861.x ↗
45. 10.1016/S0304-3991(98)00035-710.1016/S0304-3991(98)00035-7 ↗
46. 10.1002/adma.20160588710.1002/adma.201605887 ↗
47. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
48. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
49. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
50. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗