Exploring the Thermoelectric Potential of MgB4: Electronic Band Structure, Transport Properties, and Defect Chemistry
Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide The demand for efficient and lightweight thermoelectric materials has surged due to their applications in electronics, wearable technology, and the aerospace industry. Conventional materials contain heavy, rare, and/or toxic elements, making them unsustainable for the future. This work presents a study of MgB 4, a material that has not been studied as a thermoelectric material. We use advanced computational chemistry techniques, combining electronic structure calculations, lattice dynamics, and full defect chemistry analysis, to predict the thermoelectric figure of merit, ZT, across a range of carrier concentrations and temperatures in the theoretical p-type and n-type systems. The study suggests that p-type MgB 4 is comparable to previously discovered Mg-based thermoelectrics under high-temperature conditions with a ZT of 0.47 at 1200 K. We also show that Ba-alloying up to 10% is a possible route toward improving thermoelectric performance as it increases the ZT to 0.66.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Superconductivity in MgB2 and Alloys · Physics of Superconductivity and Magnetism · Rare-earth and actinide compounds
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemistry, University College London, London WC1H 0AJ, U.K.
Institute of High Performance Computing, Agency of Science Technology and Research, Singapore 138632, Singapore
Department of Chemistry, Imperial College London, London SW7 2AZ, U.K.
The School of Chemistry, University of Birmingham, Edgbaston, Birmingham B15 2TT, U.K.
References (71)
Show source-provided references
1. 10.1016/j.apenergy.2018.10.10210.1016/j.apenergy.2018.10.102 ↗
2. 10.1186/s40068-020-00169-210.1186/s40068-020-00169-2 ↗
3. 10.1038/s41563-019-0499-910.1038/s41563-019-0499-9 ↗
4. 10.1016/j.rser.2018.03.05210.1016/j.rser.2018.03.052 ↗
5. 10.1002/adma.20210299010.1002/adma.202102990 ↗
6. 10.1098/rsta.2018.045010.1098/rsta.2018.0450 ↗
7. 10.1016/j.egyr.2019.11.10510.1016/j.egyr.2019.11.105 ↗
8. 10.3389/fenrg.2021.75453210.3389/fenrg.2021.754532 ↗
9. 10.1557/mrs2006.4410.1557/mrs2006.44 ↗
10. 10.1080/14686996.2018.153093810.1080/14686996.2018.1530938 ↗
11. 10.1039/c7ta10415d10.1039/c7ta10415d ↗
12. 10.1016/j.jma.2022.05.02110.1016/j.jma.2022.05.021 ↗
13. 10.1103/PhysRevB.85.14412010.1103/PhysRevB.85.144120 ↗
14. 10.1016/j.actamat.2015.04.02310.1016/j.actamat.2015.04.023 ↗
15. 10.1039/C6TA08316A10.1039/C6TA08316A ↗
16. 10.1016/j.phpro.2015.05.12410.1016/j.phpro.2015.05.124 ↗
17. 10.1039/C7CP00840F10.1039/C7CP00840F ↗
18. Tan K. · Solid State Sci. Technol. · 2011 · 19 · 15
19. 10.1063/1.156406010.1063/1.1564060 ↗
20. 10.1016/S0966-9795(01)00060-710.1016/S0966-9795(01)00060-7 ↗
21. 10.1107/S002188981103897010.1107/S0021889811038970 ↗
22. 10.1103/PhysRevB.47.55810.1103/PhysRevB.47.558 ↗
23. 10.1103/PhysRevB.49.1425110.1103/PhysRevB.49.14251 ↗
24. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
25. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
26. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
27. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
28. Tolba S. A. · 2018
29. 10.1103/PhysRevLett.100.13640610.1103/PhysRevLett.100.136406 ↗
30. 10.1039/D0TA00690D10.1039/D0TA00690D ↗
31. 10.1103/PhysRevLett.117.07550210.1103/PhysRevLett.117.075502 ↗
32. 10.1039/D0SC02995E10.1039/D0SC02995E ↗
33. 10.1103/PhysRevB.95.11520110.1103/PhysRevB.95.115201 ↗
34. 10.1103/PhysRevLett.100.14640110.1103/PhysRevLett.100.146401 ↗
35. 10.1063/1.492805810.1063/1.4928058 ↗
36. 10.1080/0026897690010094110.1080/00268976900100941 ↗
37. 10.21105/joss.0317110.21105/joss.03171 ↗
38. 10.1038/s41467-021-22440-510.1038/s41467-021-22440-5 ↗
39. 10.1103/PhysRevB.91.09430610.1103/PhysRevB.91.094306 ↗
40. 10.7566/jpsj.92.01200110.7566/jpsj.92.012001 ↗
41. 10.1103/PhysRevB.97.22430610.1103/PhysRevB.97.224306 ↗
42. 10.21105/joss.0071710.21105/joss.00717 ↗
43. Spooner, K. B.; Einhorn, M.; Davies, D. W.; Scanlon, D. O. ThermoParser: Streamlined Analysis of Thermoelectric Properties, 2023. https://github.com/SMTG-UCL/ThermoParser (accessed 26 April, 2024).10.21105/joss.06340 ↗
44. Hellman, O.; Shulumba, N. Temperature dependent effective potential 1.1, 2018. https://ollehellman.github.io/ (accessed May 04, 2023).
45. 10.1103/revmodphys.86.25310.1103/revmodphys.86.253 ↗
46. 10.1063/1.481232310.1063/1.4812323 ↗
47. 10.1016/j.cpc.2013.08.02610.1016/j.cpc.2013.08.026 ↗
48. Kavanagh, S. R. doped, 2023. https://github.com/SMTG-UCL/doped (accessed May 04, 2023).
49. 10.21105/joss.0481710.21105/joss.04817 ↗
50. 10.1016/j.matt.2021.06.00310.1016/j.matt.2021.06.003 ↗
51. 10.1038/s41524-023-00973-110.1038/s41524-023-00973-1 ↗
52. 10.21105/joss.0496210.21105/joss.04962 ↗
53. 10.1016/j.cpc.2019.06.01710.1016/j.cpc.2019.06.017 ↗
54. 10.1016/j.jssc.2017.05.00710.1016/j.jssc.2017.05.007 ↗
55. 10.1016/j.physleta.2017.08.06110.1016/j.physleta.2017.08.061 ↗
56. 10.1038/s41598-021-85654-z10.1038/s41598-021-85654-z ↗
57. Bradley C. · 2010
58. 10.1038/s41524-020-00476-310.1038/s41524-020-00476-3 ↗
59. 10.1038/s41524-017-0013-310.1038/s41524-017-0013-3 ↗
60. 10.1021/am405410e10.1021/am405410e ↗
61. 10.1063/1.489691210.1063/1.4896912 ↗
62. Ganose, A. M. bapt, 2017. https://github.com/utf/bapt (accessed May 04, 2023).
63. 10.1039/c1jm11754h10.1039/c1jm11754h ↗
64. 10.1088/1674-1056/26/1/01660210.1088/1674-1056/26/1/016602 ↗
65. 10.1098/rsos.19087010.1098/rsos.190870 ↗
66. 10.1088/2515-7655/ac49dc10.1088/2515-7655/ac49dc ↗
67. 10.1063/1.302977410.1063/1.3029774 ↗
68. 10.1016/j.mtener.2022.10098510.1016/j.mtener.2022.100985 ↗
69. 10.1038/nature0999610.1038/nature09996 ↗
70. 10.1016/j.mattod.2017.02.00710.1016/j.mattod.2017.02.007 ↗
71. Pfefferle, L.; Fang, F.; Iyyamperumal, E.; Keskar, G. Nanostructures of Boron, Carbon and Magnesium Diboride for High Temperature Superconductivity, 2013.10.2172/1111414 ↗