journal article·2024-02-23

Density Functional Theory Study of Nitrogen Fixation Electrocatalysts Based on Two-Dimensional Conjugated Metal–Organic Frameworks

Zheng-Yun Xiong, Ying Xu, An Yu Bao, Wei Sheng, Jie Zhan

ACS Applied Nano Materials· Volume 7· Issue 4
Publisher page

Abstract

Creating high-performance single-atom catalysts for the electrochemical nitrogen reduction reaction (NRR) is a crucial approach. Two-dimensional metal–organic frameworks (MOFs) have captured significant attention as NRR catalysts due to their lightweight and large pores. Using density functional theory (DFT) calculations, we explored a series of TM 3 C 18 N 6 X 12 (X = S or NH, TM = Mo, Cr, W, Fe, Mn, Os, Ni, Ir, Pd, Pt, Rh) two-dimensional metal–organic frameworks (MOFs) as potential single-atom catalysts for NRR through a three-step screening strategy. The influence of coordinating atoms around transition metal atoms is also examined, specifically, TMS 4 or TMS 2 (NH) 2 . Our findings indicate that the Os 3 C 18 S 12 N 6 MOF exhibits the best activity and selectivity, with an overpotential of only 0.28 V along the distal pathway, which is lower than most reported MOF materials. The adsorption and activation of N 2 are influenced by the σ-acceptance-π* donation mechanism. Additionally, we established descriptors related to the valence electron (Δ Q TM X TM ) and magnetic moment (μ TM –μ X ) to explore the relationship between catalytic activity and descriptors. This work can offer valuable insights for designing promising electrocatalysts for NRR based on MOFs.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Ammonia Synthesis and Nitrogen Reduction · Advanced Photocatalysis Techniques · Nanomaterials for catalytic reactions

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

Affiliations

College of Physics and Electronic Science, Hunan University of Science and Technology, Xiangtan411201, China

Hunan Provincial Key Laboratory of Intelligent Sensors and New Sensing Materials, Xiangtan 411201, China

Funding

the Scientific Research Fund of Hunan Provincial Education Department · Natural Science Foundation of Hunan Province

References (56)

Show source-provided references
1. 10.1038/ngeo32510.1038/ngeo325 ↗
2. 10.1016/j.fuproc.2009.02.00410.1016/j.fuproc.2009.02.004 ↗
3. 10.1016/j.jpowsour.2008.02.09710.1016/j.jpowsour.2008.02.097 ↗
4. 10.1038/s41929-018-0092-710.1038/s41929-018-0092-7 ↗
5. 10.1038/nchem.162010.1038/nchem.1620 ↗
6. 10.1038/nature0659210.1038/nature06592 ↗
7. 10.1016/j.chempr.2017.10.00410.1016/j.chempr.2017.10.004 ↗
8. 10.1016/j.joule.2018.09.01110.1016/j.joule.2018.09.011 ↗
9. 10.1021/acscatal.8b0513410.1021/acscatal.8b05134 ↗
10. 10.1016/j.cplett.2014.03.00310.1016/j.cplett.2014.03.003 ↗
11. 10.1016/S1872-2067(14)60118-210.1016/S1872-2067(14)60118-2 ↗
12. 10.1038/s41929-019-0252-410.1038/s41929-019-0252-4 ↗
13. 10.1126/science.345.6197.61010.1126/science.345.6197.610 ↗
14. 10.1016/j.apsusc.2023.15636210.1016/j.apsusc.2023.156362 ↗
15. 10.1038/nature1645910.1038/nature16459 ↗
16. 10.1038/nchem.147610.1038/nchem.1476 ↗
17. 10.1021/acs.jpcc.2c0296910.1021/acs.jpcc.2c02969 ↗
18. 10.1002/eem2.1220410.1002/eem2.12204 ↗
19. 10.1002/adma.20200765010.1002/adma.202007650 ↗
20. 10.1039/D1QM00269D10.1039/D1QM00269D ↗
21. 10.1007/s12274-018-1987-y10.1007/s12274-018-1987-y ↗
22. 10.1016/j.cattod.2016.06.01410.1016/j.cattod.2016.06.014 ↗
23. 10.1021/cm500767u10.1021/cm500767u ↗
24. 10.1016/j.apsusc.2022.15490410.1016/j.apsusc.2022.154904 ↗
25. 10.1039/C9TA02926E10.1039/C9TA02926E ↗
26. 10.1063/1.474443710.1063/1.4744437 ↗
27. 10.1021/ja111565w10.1021/ja111565w ↗
28. 10.1016/j.jcis.2023.11.07210.1016/j.jcis.2023.11.072 ↗
29. 10.1016/j.cclet.2023.10869210.1016/j.cclet.2023.108692 ↗
30. 10.1039/D0TA06949C10.1039/D0TA06949C ↗
31. 10.1016/j.cej.2022.14079910.1016/j.cej.2022.140799 ↗
32. 10.1021/acsami.1c0641410.1021/acsami.1c06414 ↗
33. 10.1039/D0TA08676B10.1039/D0TA08676B ↗
34. 10.1039/D1TA04614D10.1039/D1TA04614D ↗
35. 10.1021/acs.jpcc.2c0287610.1021/acs.jpcc.2c02876 ↗
36. 10.1016/j.cej.2021.13074510.1016/j.cej.2021.130745 ↗
37. 10.1039/D2MH01197B10.1039/D2MH01197B ↗
38. 10.1021/acs.jpclett.2c0210510.1021/acs.jpclett.2c02105 ↗
39. 10.1016/j.jechem.2023.05.02210.1016/j.jechem.2023.05.022 ↗
40. 10.1016/j.inoche.2020.10816910.1016/j.inoche.2020.108169 ↗
41. 10.1021/jacs.9b1334910.1021/jacs.9b13349 ↗
42. 10.1039/D2TA08027C10.1039/D2TA08027C ↗
43. 10.1039/D3NR03310D10.1039/D3NR03310D ↗
44. 10.1007/s10904-019-01151-x10.1007/s10904-019-01151-x ↗
45. 10.1039/c0ee00071j10.1039/c0ee00071j ↗
46. 10.1021/jp047349j10.1021/jp047349j ↗
47. 10.1002/smtd.20190033710.1002/smtd.201900337 ↗
48. 10.1016/j.mcat.2023.11296710.1016/j.mcat.2023.112967 ↗
49. 10.1021/acs.jpcc.1c0589310.1021/acs.jpcc.1c05893 ↗
50. 10.1126/science.aaq168410.1126/science.aaq1684 ↗
51. 10.1021/jacs.8b0747210.1021/jacs.8b07472 ↗
52. 10.1016/j.cattod.2016.11.04710.1016/j.cattod.2016.11.047 ↗
53. 10.1021/jacs.6b0170610.1021/jacs.6b01706 ↗
54. 10.1002/cssc.20150032210.1002/cssc.201500322 ↗
55. 10.1021/acsami.1c2178910.1021/acsami.1c21789 ↗
56. 10.1016/j.apsusc.2021.15035210.1016/j.apsusc.2021.150352 ↗