Rigidly Axial O Coordination-Induced Spin Polarization on Single Ni–N4–C Site by MXene Coupling for Boosting Electrochemical CO2 Reduction to CO
Source abstract
Abstract
Regulating the spin states in transition-metal (TM)-based single-atom catalysts (SACs), such as the TM-N x – C configurations, is crucial for improving the catalytic activity. However, the role of spin in single Ni atoms facilitating the electrochemical CO 2 reduction reaction (CO 2 RR) has been largely overlooked. Using first-principles simulations, we investigated the electrocatalytic performance of Ni–N 4 –C SACs vertically stacked on the O-terminated MXene nanosheets for the CO 2 RR. The terminated O atoms on MXene axially interact with the Ni atom due to significant charge transfer between them. Unlike the pure Ni–N 4 site, which lacks spin polarization, the newly formed Ni–N 4 O configuration breaks the spin degeneracy of Ni d orbitals, dramatically lifting the energy level of spin-down d orbitals relative to that of spin-up d orbitals. As a result, the d electrons of Ni in the two spin channels are rearranged, leading to large net spin moments of 1.4 μ B . Compared to the Ni–N 4 site, the partially filled minority-spin d z 2 orbitals of Ni on Ni–N 4 O weaken the occupied d-π* orbitals between Ni and *COOH, significantly stabilizing the key intermediate. The detailed reaction mechanisms and energetics show that four MXenes, namely, Hf 3 C 2, Zr 3 C 2, Hf 2 C, and Zr 2 C, can induce a large spin on the Ni site, thereby improving catalytic activity for CO 2 reduction to CO, with a lower onset potential of about −0.75 V vs SHE compared to pure Ni SACs (−1.17 V) according to the potential-constant model with an explicit solvent environment.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: CO2 Reduction Techniques and Catalysts · MXene and MAX Phase Materials · Advancements in Battery Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Organo-Pharmaceutical Chemistry of Jiangxi Province, Gannan Normal University, Ganzhou 341000, China
Department of Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, United States
Engineering Research Center of Bamboo Advanced Materials and Conversion of Jiangxi Province, Gannan Normal University, Ganzhou 341000, China
Funding
National Natural Science Foundation of China · Natural Science Foundation of Jiangxi Province
References (67)
Show source-provided references
1. 10.1038/nature1324910.1038/nature13249 ↗
2. 10.1038/s41929-019-0306-710.1038/s41929-019-0306-7 ↗
3. 10.1038/ncomms678310.1038/ncomms6783 ↗
4. 10.1038/ncomms424210.1038/ncomms4242 ↗
5. 10.1021/ja309317u10.1021/ja309317u ↗
6. 10.1021/acsenergylett.7b0109610.1021/acsenergylett.7b01096 ↗
7. 10.1021/acscatal.6b0171910.1021/acscatal.6b01719 ↗
8. 10.1126/science.aac834310.1126/science.aac8343 ↗
9. 10.1002/anie.20150209910.1002/anie.201502099 ↗
10. 10.1021/acs.accounts.8b0047810.1021/acs.accounts.8b00478 ↗
11. 10.1038/s41560-017-0078-810.1038/s41560-017-0078-8 ↗
12. 10.1021/jacs.8b0081410.1021/jacs.8b00814 ↗
13. 10.1021/jacs.7b0273610.1021/jacs.7b02736 ↗
14. 10.1021/jacs.7b0907410.1021/jacs.7b09074 ↗
15. 10.1002/advs.20200154510.1002/advs.202001545 ↗
16. 10.1002/anie.20190799410.1002/anie.201907994 ↗
17. 10.1002/anie.20211470710.1002/anie.202114707 ↗
18. 10.1002/anie.20190607910.1002/anie.201906079 ↗
19. 10.1039/C8EE00133B10.1039/C8EE00133B ↗
20. 10.1126/science.aaw751510.1126/science.aaw7515 ↗
21. 10.1038/s41467-019-10854-110.1038/s41467-019-10854-1 ↗
22. 10.1021/jacs.9b0935210.1021/jacs.9b09352 ↗
23. 10.1038/s41560-019-0402-610.1038/s41560-019-0402-6 ↗
24. 10.1021/acscatal.0c0195010.1021/acscatal.0c01950 ↗
25. 10.1021/acscatal.0c0249910.1021/acscatal.0c02499 ↗
26. 10.1002/adma.20200184810.1002/adma.202001848 ↗
27. 10.1002/anie.20201621910.1002/anie.202016219 ↗
28. 10.1002/anie.20221098510.1002/anie.202210985 ↗
29. 10.1016/j.apcatb.2023.12338910.1016/j.apcatb.2023.123389 ↗
30. 10.1002/adma.20170168710.1002/adma.201701687 ↗
31. 10.1021/jacs.1c0088910.1021/jacs.1c00889 ↗
32. 10.1021/jacs.6b0477810.1021/jacs.6b04778 ↗
33. 10.1021/jacs.2c0115310.1021/jacs.2c01153 ↗
34. 10.1002/anie.20230387110.1002/anie.202303871 ↗
35. 10.1002/anie.20210526310.1002/anie.202105263 ↗
36. 10.1002/anie.20201342710.1002/anie.202013427 ↗
37. 10.1002/anie.20230462510.1002/anie.202304625 ↗
38. 10.1038/natrevmats.2016.9810.1038/natrevmats.2016.98 ↗
39. 10.1038/s41586-018-0109-z10.1038/s41586-018-0109-z ↗
40. 10.1038/nature1397010.1038/nature13970 ↗
41. 10.1126/science.124148810.1126/science.1241488 ↗
42. 10.1126/science.aag242110.1126/science.aag2421 ↗
43. 10.1021/acs.chemmater.6b0397210.1021/acs.chemmater.6b03972 ↗
44. 10.1002/advs.20160018010.1002/advs.201600180 ↗
45. 10.1039/C8TA06567E10.1039/C8TA06567E ↗
46. 10.1021/acsnano.7b0373810.1021/acsnano.7b03738 ↗
47. 10.1016/j.cattod.2018.12.02910.1016/j.cattod.2018.12.029 ↗
48. 10.1103/PhysRevB.45.1324410.1103/PhysRevB.45.13244 ↗
49. 10.1103/PhysRevB.47.55810.1103/PhysRevB.47.558 ↗
50. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
51. 10.1002/jcc.2049510.1002/jcc.20495 ↗
52. 10.1039/C6RA04656H10.1039/C6RA04656H ↗
53. 10.1039/C7RA11829E10.1039/C7RA11829E ↗
54. 10.1021/jp047349j10.1021/jp047349j ↗
55. 10.1021/jp104888710.1021/jp1048887 ↗
56. NIST Computational Chemistry Comparison and Benchmark Database NIST Standard Reference Database Number 101, Release 22, May 2022. http://cccbdb.nist.gov/.
57. 10.1063/1.513235410.1063/1.5132354 ↗
58. 10.1063/1.486510710.1063/1.4865107 ↗
59. 10.1063/1.132967210.1063/1.1329672 ↗
60. 10.1002/anie.20221632610.1002/anie.202216326 ↗
61. 10.1002/anie.20231923810.1002/anie.202319238 ↗
62. 10.1021/acscatal.6b0275410.1021/acscatal.6b02754 ↗
63. 10.1021/ja501520b10.1021/ja501520b ↗
64. 10.1021/acscatal.2c0147010.1021/acscatal.2c01470 ↗
65. 10.1039/C9SC05236D10.1039/C9SC05236D ↗
66. 10.1021/jacs.2c0454010.1021/jacs.2c04540 ↗
67. 10.1021/jacs.8b0747210.1021/jacs.8b07472 ↗