Ni Triple-Atom Doped Cu2O Electrocatalysts for Efficient Electrochemical Urea Synthesis: A Theoretical Study
Source abstract
Abstract
Chemical C–N coupling from CO 2 and N 2 toward urea synthesis is an appealing approach for Bosch–Meiser urea production. However, this process faces significant challenges, including the difficulty of N 2 activation, high energy barriers, and low selectivity. In this study, we theoretically designed a Ni triple-atom doped Cu 2 O catalyst, Ni TAC@Cu 2 O, which exhibits exceptional urea synthesis performance. Using density functional theory and the constant potential method, we show that the superior catalytic performance of Ni TAC@Cu 2 O stems from synergistic metal–support interactions (MSIs) between Ni atoms and Cu 2 O. Cu 2 O serves as an anchoring substrate and actively participates in CO 2 activation via strong Cu–O bonding, whereas Ni serves as the pivotal active center for N 2 activation. Ni TAC@Cu 2 O achieves a moderate N 2 adsorption energy and a limiting potential ( U L ) of −0.60 V, overperforming Ni single-atom (Ni SAC@Cu 2 O, U L = −0.85 V) and Ni double-atom (Ni DAC@Cu 2 O, U L = −0.88 V) catalysts. The third Ni atom enhances electron donation, reducing the energy barrier of the rate-determining step (*CO + *N 2 + H + + e – → *CONNH), while O atoms in Cu 2 O regulate Ni’s electronic structure through MSIs. Additionally, Ni TAC@Cu 2 O demonstrates thermodynamic, electrochemical, and acid–base stability and effectively suppresses competing side reactions. This work underscores the importance of Cu 2 O-supported MSIs in multiatom catalysts for enhanced performance and provides insights for advanced electrocatalyst design.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Ammonia Synthesis and Nitrogen Reduction · Advanced Photocatalysis Techniques · CO2 Reduction Techniques and Catalysts
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Materials and Energy
Guangdong University of Technology
School of Physics and Materials Science
Guangzhou University
School of Physics and Information Technology
Shaanxi Normal University
Funding
Basic and Applied Basic Research Foundation of Guangdong Province · Guangdong Provincial Pearl River Talents Program · National Natural Science Foundation of China
References (55)
Show source-provided references
1. 10.1038/nature1574310.1038/nature15743 ↗
2. 10.1038/ngeo32510.1038/ngeo325 ↗
3. 10.1002/anie.20180066710.1002/anie.201800667 ↗
4. 10.1002/anie.20230712310.1002/anie.202307123 ↗
5. Xu X. · 2025
6. 10.1002/adma.20180536710.1002/adma.201805367 ↗
7. 10.1016/j.joule.2019.05.00110.1016/j.joule.2019.05.001 ↗
8. 10.1016/j.apcatb.2015.07.04510.1016/j.apcatb.2015.07.045 ↗
9. 10.1126/science.345.6197.61010.1126/science.345.6197.610 ↗
10. 10.1021/acs.est.2c0105710.1021/acs.est.2c01057 ↗
11. 10.1021/acs.chemrev.9b0020210.1021/acs.chemrev.9b00202 ↗
12. 10.1039/C7MH00557A10.1039/C7MH00557A ↗
13. 10.1093/nsr/nwz01910.1093/nsr/nwz019 ↗
14. 10.1021/acscatal.7b0043910.1021/acscatal.7b00439 ↗
15. 10.1016/j.scitotenv.2020.14154310.1016/j.scitotenv.2020.141543 ↗
16. 10.1016/j.jechem.2023.05.03210.1016/j.jechem.2023.05.032 ↗
17. 10.1016/j.rser.2021.11191610.1016/j.rser.2021.111916 ↗
18. 10.3390/catal1104045010.3390/catal11040450 ↗
19. 10.1021/acsnano.5c0190910.1021/acsnano.5c01909 ↗
20. 10.1021/acsnano.2c1104610.1021/acsnano.2c11046 ↗
21. 10.1002/anie.20210127510.1002/anie.202101275 ↗
22. 10.1039/D1SC01467F10.1039/D1SC01467F ↗
23. 10.1038/s41467-018-04213-910.1038/s41467-018-04213-9 ↗
24. 10.1038/s41467-021-25426-510.1038/s41467-021-25426-5 ↗
25. 10.1038/s41557-020-0481-910.1038/s41557-020-0481-9 ↗
26. 10.1021/acs.chemmater.2c0157210.1021/acs.chemmater.2c01572 ↗
27. 10.1016/j.checat.2022.09.01210.1016/j.checat.2022.09.012 ↗
28. 10.1038/s41467-021-24400-510.1038/s41467-021-24400-5 ↗
29. 10.1002/aenm.20210271510.1002/aenm.202102715 ↗
30. 10.1016/j.cej.2021.13255810.1016/j.cej.2021.132558 ↗
31. 10.1038/nchem.109510.1038/nchem.1095 ↗
32. 10.1038/ncomms961810.1038/ncomms9618 ↗
33. 10.1016/j.apcatb.2022.12224410.1016/j.apcatb.2022.122244 ↗
34. 10.1002/smtd.20190082110.1002/smtd.201900821 ↗
35. 10.1039/D4TA02693D10.1039/D4TA02693D ↗
36. 10.1002/anie.20250739510.1002/anie.202507395 ↗
37. 10.1016/j.chempr.2025.10249810.1016/j.chempr.2025.102498 ↗
38. 10.1002/anie.20250301910.1002/anie.202503019 ↗
39. 10.1021/jacs.8b0300210.1021/jacs.8b03002 ↗
40. 10.1021/acsnano.3c1045110.1021/acsnano.3c10451 ↗
41. 10.1126/science.abi982810.1126/science.abi9828 ↗
42. 10.1038/s41893-021-00741-310.1038/s41893-021-00741-3 ↗
43. 10.1002/adfm.20220088210.1002/adfm.202200882 ↗
44. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
45. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
46. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
47. 10.1063/1.338234410.1063/1.3382344 ↗
48. 10.1103/PhysRevB.46.1606710.1103/PhysRevB.46.16067 ↗
49. 10.1016/j.chemphys.2005.05.03810.1016/j.chemphys.2005.05.038 ↗
50. 10.1016/j.cpc.2021.10803310.1016/j.cpc.2021.108033 ↗
51. 10.1021/jacs.1c0218610.1021/jacs.1c02186 ↗
52. 10.1021/jacs.3c0919310.1021/jacs.3c09193 ↗
53. 10.1063/1.486510710.1063/1.4865107 ↗
54. 10.1063/1.46394010.1063/1.463940 ↗
55. 10.1063/1.132967210.1063/1.1329672 ↗