Dual-Defect Engineering of Mo-Doped NiFe-LDH Nanosheets for Enhanced Alkaline Oxygen Evolution
Source abstract
Abstract
Defect engineering is considered to be a crucial strategy for efficiently designing catalysts. It has been demonstrated that the introduction of multiple defects significantly contributes to the optimization of the internal electronic structure of the catalyst, but there is a lack of in-depth understanding of the synergistic mechanism of multiple defects and the intrinsic behavior of the electrodes under defect modification. Herein, in this paper, NiFe-DMo nanosheets decorated by dual defects (including Mo dopants and Ni vacancies) were prepared by the electrodeposition method, which increased the density of active sites and altered the electronic structure of the catalysts through the dynamic dissolution and polymerization process of Mo. Electrochemical tests showed that the dual defects of Mo enhanced the OER activity and stability of the catalyst with an overpotential of 211 mV at 10 mA cm –2 . Density functional theory (DFT) calculations further revealed that the dual defects of Mo optimized the adsorption energy of the OER intermediates. In addition, the effect of the leaching of inactive ions (MoO 4 –2 ) on the catalyst performance was investigated. Results found that the leaching of these ions promoted the reconstruction of the precatalyst to the active phase and revealed the Mo dissolution and readsorption mechanisms. This study provides ideas and theoretical basis for the design of efficient and stable Mo-based OER catalysts.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electrocatalysts for Energy Conversion · Catalytic Processes in Materials Science · Supercapacitor Materials and Fabrication
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Clean Energy Utilization
Zhejiang University
Qingshanhu Energy Research Center
Funding
National Key Research and Development Program of China · Natural Science Foundation of Zhejiang Province · Baima Lake Laboratory Joint Funds of the Zhejiang Provincial Natural Science Foundation of China
References (47)
Show source-provided references
1. 10.1016/j.optlastec.2024.11179010.1016/j.optlastec.2024.111790 ↗
2. 10.1021/acsenergylett.2c0102410.1021/acsenergylett.2c01024 ↗
3. 10.1016/j.ccst.2022.10004210.1016/j.ccst.2022.100042 ↗
4. 10.1021/acscatal.1c0119010.1021/acscatal.1c01190 ↗
5. 10.1021/acscatal.1c0411710.1021/acscatal.1c04117 ↗
6. 10.1021/acsnano.2c0033210.1021/acsnano.2c00332 ↗
7. 10.1021/acsenergylett.9b0004710.1021/acsenergylett.9b00047 ↗
8. 10.1002/adfm.20170408310.1002/adfm.201704083 ↗
9. 10.1002/anie.20180552010.1002/anie.201805520 ↗
10. 10.1021/acsomega.2c0142310.1021/acsomega.2c01423 ↗
11. 10.1002/adma.20180700110.1002/adma.201807001 ↗
12. 10.1002/aenm.20240372210.1002/aenm.202403722 ↗
13. 10.1016/j.cej.2021.13074210.1016/j.cej.2021.130742 ↗
14. 10.1016/j.apcatb.2024.12407310.1016/j.apcatb.2024.124073 ↗
15. 10.1002/aenm.20220236710.1002/aenm.202202367 ↗
16. 10.1002/anie.20201572310.1002/anie.202015723 ↗
17. 10.1016/j.cej.2023.14371510.1016/j.cej.2023.143715 ↗
18. 10.1016/j.apcatb.2023.12318810.1016/j.apcatb.2023.123188 ↗
19. 10.1002/aenm.20230409910.1002/aenm.202304099 ↗
20. 10.1016/j.apcatb.2022.12115010.1016/j.apcatb.2022.121150 ↗
21. 10.1021/acssuschemeng.9b0383010.1021/acssuschemeng.9b03830 ↗
22. 10.1016/j.jcis.2024.01.07210.1016/j.jcis.2024.01.072 ↗
23. 10.1016/j.apcatb.2020.11936310.1016/j.apcatb.2020.119363 ↗
24. 10.1016/j.chemosphere.2023.14031410.1016/j.chemosphere.2023.140314 ↗
25. 10.1002/jrs.283710.1002/jrs.2837 ↗
26. 10.1021/ja405351s10.1021/ja405351s ↗
27. 10.1021/ie061346710.1021/ie0613467 ↗
28. 10.1021/acscatal.6b0049010.1021/acscatal.6b00490 ↗
29. 10.1016/j.electacta.2018.12.09110.1016/j.electacta.2018.12.091 ↗
30. 10.1021/acsami.7b1867110.1021/acsami.7b18671 ↗
31. 10.1002/anie.20160889910.1002/anie.201608899 ↗
32. 10.1002/anie.20180488110.1002/anie.201804881 ↗
33. 10.1038/s41467-020-18891-x10.1038/s41467-020-18891-x ↗
34. 10.1016/j.apcatb.2020.11939610.1016/j.apcatb.2020.119396 ↗
35. 10.1016/j.matt.2020.09.01610.1016/j.matt.2020.09.016 ↗
36. 10.1039/D2CC03026H10.1039/D2CC03026H ↗
37. 10.1021/acscatal.2c0333810.1021/acscatal.2c03338 ↗
38. 10.1002/aenm.20210235910.1002/aenm.202102359 ↗
39. 10.1039/D2TA09817B10.1039/D2TA09817B ↗
40. 10.1016/j.cej.2023.14266910.1016/j.cej.2023.142669 ↗
41. 10.1039/D1TA09864K10.1039/D1TA09864K ↗
42. 10.1038/s41929-021-00578-110.1038/s41929-021-00578-1 ↗
43. 10.1016/j.apcatb.2023.12244410.1016/j.apcatb.2023.122444 ↗
44. 10.1002/adfm.20240109510.1002/adfm.202401095 ↗
45. 10.1038/s41560-024-01674-910.1038/s41560-024-01674-9 ↗
46. 10.1002/anie.20241325010.1002/anie.202413250 ↗
47. 10.1016/j.apcatb.2020.11985710.1016/j.apcatb.2020.119857 ↗