journal article·2021-05-11Open access

Theoretical Insight on Anion Ordering, Strain, and Doping Engineering of the Oxygen Evolution Reaction in BaTaO2N

Zhenyun Lan, Tejs Vegge, Ivano E. Castelli

Chemistry of Materials· Volume 33· Issue 9

Abstract

Oxynitride perovskites such as BaTaO2N are among the most promising materials to achieve efficient direct solar-to-chemical conversion. Albeit photoelectrochemical water splitting has been demonstrated, the required overpotentials remain prohibitively large compared with the theoretically accessible values, particularly for the oxygen evolution reaction (OER). Here, we apply density functional theory (DFT) calculations to investigate the use of strain and cationic doping with Ca and Sr to optimize the OER theoretical overpotential. For the TaON-terminated BaTaO2N (001) surface, 4% compressive uniaxial strain can lower the theoretical overpotential to η = 0.59 V, under operational conditions. For the most stable TaO2N-(100) termination, 1% tensile uniaxial strain, which is perfectly accessible by experiments, is enough to reduce the theoretical overpotential from η = 0.43 V to η = 0.37 V under (photo)electrochemical conditions. This value is close to the minimum predicted theoretical overpotential and points out how strain engineering could be efficiently used to improve the electrocatalytic reactions.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Photocatalysis Techniques · Electronic and Structural Properties of Oxides · Perovskite Materials and Applications

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

Affiliations

Department of Energy Conversion and Storage, Technical University of Denmark, Anker Engelundsvej 411, DK-2800 Kgs. Lyngby, Denmark

Funding

Velux Fonden · China Scholarship Council · Department of Energy Conversion and Storage, Technical University of Denmark

References (55)

Show source-provided references
1. 10.1021/acs.chemmater.5b0414910.1021/acs.chemmater.5b04149 ↗
2. 10.1039/d0ta08313e10.1039/d0ta08313e ↗
3. 10.1039/c5mh00046g10.1039/c5mh00046g ↗
4. 10.1039/c5qi00202h10.1039/c5qi00202h ↗
5. 10.1557/mrs.2010.410.1557/mrs.2010.4 ↗
6. 10.1038/natrevmats.2015.1010.1038/natrevmats.2015.10 ↗
7. 10.1021/ja513187910.1021/ja5131879 ↗
8. 10.1039/c9ta10684g10.1039/c9ta10684g ↗
9. 10.1016/j.jcat.2012.12.00310.1016/j.jcat.2012.12.003 ↗
10. 10.1039/c4cp02088j10.1039/c4cp02088j ↗
11. 10.1021/acsaem.9b0090810.1021/acsaem.9b00908 ↗
12. 10.1021/ja404030x10.1021/ja404030x ↗
13. 10.1002/anie.20130135710.1002/anie.201301357 ↗
14. 10.1002/cctc.20100039710.1002/cctc.201000397 ↗
15. 10.1021/acs.chemmater.6b0336610.1021/acs.chemmater.6b03366 ↗
16. 10.1039/c2jm13182j10.1039/c2jm13182j ↗
17. 10.1103/physrevlett.120.04600110.1103/physrevlett.120.046001 ↗
18. 10.1021/acs.jpcc.7b0887410.1021/acs.jpcc.7b08874 ↗
19. 10.1021/cm034756j10.1021/cm034756j ↗
20. 10.1021/acsami.9b0374710.1021/acsami.9b03747 ↗
21. 10.1002/anie.20190029210.1002/anie.201900292 ↗
22. 10.1002/adma.20180700110.1002/adma.201807001 ↗
23. 10.1021/acs.jpcc.8b0984810.1021/acs.jpcc.8b09848 ↗
24. 10.1038/s41467-020-15519-y10.1038/s41467-020-15519-y ↗
25. 10.1063/1.493148710.1063/1.4931487 ↗
26. 10.1016/j.jcat.2020.01.00510.1016/j.jcat.2020.01.005 ↗
27. 10.1038/s41467-019-10888-510.1038/s41467-019-10888-5 ↗
28. 10.1039/c8cc03462a10.1039/c8cc03462a ↗
29. 10.1038/s41467-020-19217-710.1038/s41467-020-19217-7 ↗
30. 10.1021/cm062480k10.1021/cm062480k ↗
31. 10.1038/srep0498710.1038/srep04987 ↗
32. 10.1039/d0ta02136a10.1039/d0ta02136a ↗
33. 10.1021/jp408416210.1021/jp4084162 ↗
34. 10.1016/j.apcatb.2020.11929210.1016/j.apcatb.2020.119292 ↗
35. 10.1039/c9ta11048h10.1039/c9ta11048h ↗
36. 10.1103/physrevb.59.175810.1103/physrevb.59.1758 ↗
37. 10.1103/physrevb.54.1116910.1103/physrevb.54.11169 ↗
38. 10.1103/physrevlett.100.13640610.1103/physrevlett.100.136406 ↗
39. 10.1103/physrevlett.77.386510.1103/physrevlett.77.3865 ↗
40. 10.1103/physrevb.13.518810.1103/physrevb.13.5188 ↗
41. 10.1063/1.338234410.1063/1.3382344 ↗
42. 10.1063/1.132967210.1063/1.1329672 ↗
43. 10.1103/physrevb.82.11510610.1103/physrevb.82.115106 ↗
44. 10.1103/physreva.51.194410.1103/physreva.51.1944 ↗
45. 10.1088/0953-8984/22/25/25320210.1088/0953-8984/22/25/253202 ↗
46. FigShare—A repository where users can make all their research outputs available in a citable, shareable, and discoverable manner (2021). https://doi.org/10.11583/DTU.13318256.
47. 10.1103/physrevb.64.23541710.1103/physrevb.64.235417 ↗
48. 10.1103/physrevb.76.15543910.1103/physrevb.76.155439 ↗
49. 10.1038/s41467-020-15873-x10.1038/s41467-020-15873-x ↗
50. 10.1021/jp711929d10.1021/jp711929d ↗
51. 10.1016/s0022-3697(02)00296-210.1016/s0022-3697(02)00296-2 ↗
52. 10.1021/acs.chemmater.9b0229410.1021/acs.chemmater.9b02294 ↗
53. 10.1039/c7cp06187k10.1039/c7cp06187k ↗
54. 10.1039/c1ee01878g10.1039/c1ee01878g ↗
55. 10.1039/c2sc21845c10.1039/c2sc21845c ↗