journal article·2021-09-15

Anchoring an Fe Dimer on Nitrogen-Doped Graphene toward Highly Efficient Electrocatalytic Ammonia Synthesis

Zhe Zhang, Xiang Huang, Hu Xu

ACS Applied Materials & Interfaces· Volume 13· Issue 36
Publisher page

Abstract

Electrochemical reduction of N2 to NH3 based on sustainable energy is a green technique to produce decentralized and on-demand ammonia. In this work, taking graphene as a design platform, we explore the dual-atom catalysts (DACs) via embedding two homonuclear transition metal (TM) atoms into graphene decorated with four neighboring pyrrolic nitrogen atoms (TM2N4@graphene) to computationally screen the qualified nitrogen reduction reaction (NRR) catalysts. On the basis of the activity, selectivity, and stability of 15 homonuclear DACs of TM2N4@graphene, Fe2N4@graphene is identified as the most efficient NRR catalyst with a limiting potential of only −0.32 V. Electronic structure analysis demonstrates that the low oxidation state of Fe (+1) remarkably activates the molecular N2, which contributes to its excellent NRR catalytic activity. Moreover, the kinetic studies reveal all of the NRR elementary steps exhibiting barriers smaller than that of the hydrogen evolution reaction (HER), showing that HER is effectively suppressed. In addition, we find that the integral crystal orbital Hamilton population (ICOHP) can be used as a descriptor to describe the Gibbs free energy of each step for its NRR performance. This work not only provides theoretical guidance for designing DACs for NRR but also promotes the understanding of DACs for N2 fixation.
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

Department of Physics, Harbin Institute of Technology, Harbin 150001, China

Department of Physics, Southern University of Science and Technology, Shenzhen 518055, China

Guangdong Provincial Key Laboratory of Computational Science and Material Design, Southern University of Science and Technology, Shenzhen 518055, China

Shenzhen Key Laboratory for Advanced Quantum Functional Materials and Devices, Southern University of Science and Technology, Shenzhen 518055, China

Funding

National Natural Science Foundation of China · Guangdong Natural Science Funds for Distinguished Young Scholars · the Science, Technology and Innovation Commission of Shenzhen Municipality · the Guangdong Provincial Key Laboratory of Computational Science and Material Design

References (47)

Show source-provided references
1. 10.1126/science.abg237110.1126/science.abg2371 ↗
2. 10.1021/acs.chemrev.9b0065910.1021/acs.chemrev.9b00659 ↗
3. 10.1021/jacs.0c0952710.1021/jacs.0c09527 ↗
4. 10.1021/acscatal.8b0090510.1021/acscatal.8b00905 ↗
5. 10.1039/C1CP22271F10.1039/C1CP22271F ↗
6. 10.1039/C6EE01800A10.1039/C6EE01800A ↗
7. 10.1002/cssc.20150032210.1002/cssc.201500322 ↗
8. 10.1016/j.matt.2019.11.01410.1016/j.matt.2019.11.014 ↗
9. 10.1021/acs.jpclett.0c0141510.1021/acs.jpclett.0c01415 ↗
10. 10.1002/anie.20190876010.1002/anie.201908760 ↗
11. 10.1016/j.nanoen.2018.05.06010.1016/j.nanoen.2018.05.060 ↗
12. 10.1039/D0EE03596C10.1039/D0EE03596C ↗
13. 10.1021/acs.chemrev.0c0004210.1021/acs.chemrev.0c00042 ↗
14. 10.1021/jacs.6b1304710.1021/jacs.6b13047 ↗
15. 10.1021/ja052707x10.1021/ja052707x ↗
16. 10.1038/s41467-018-03795-810.1038/s41467-018-03795-8 ↗
17. 10.1021/ic300150u10.1021/ic300150u ↗
18. 10.1021/ja507442b10.1021/ja507442b ↗
19. 10.1021/acs.accounts.5b0021310.1021/acs.accounts.5b00213 ↗
20. 10.1126/science.121190610.1126/science.1211906 ↗
21. 10.1039/C8TA07683A10.1039/C8TA07683A ↗
22. 10.1039/C8EE02656D10.1039/C8EE02656D ↗
23. 10.1038/ncomms961810.1038/ncomms9618 ↗
24. 10.1038/s41467-018-04845-x10.1038/s41467-018-04845-x ↗
25. 10.1038/s41557-018-0201-x10.1038/s41557-018-0201-x ↗
26. 10.1002/adfm.20200742310.1002/adfm.202007423 ↗
27. 10.1021/jacs.9b1334910.1021/jacs.9b13349 ↗
28. 10.1002/cssc.20200096410.1002/cssc.202000964 ↗
29. 10.1002/eom2.1201410.1002/eom2.12014 ↗
30. 10.1016/j.electacta.2020.13566710.1016/j.electacta.2020.135667 ↗
31. 10.1039/C9TA13599E10.1039/C9TA13599E ↗
32. 10.1021/acs.nanolett.0c0508010.1021/acs.nanolett.0c05080 ↗
33. 10.1021/acscentsci.0c0055210.1021/acscentsci.0c00552 ↗
34. 10.1016/j.apcatb.2019.11839110.1016/j.apcatb.2019.118391 ↗
35. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
36. 10.1063/1.47293310.1063/1.472933 ↗
37. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
38. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
39. 10.1063/1.132967210.1063/1.1329672 ↗
40. 10.1002/ange.20191285710.1002/ange.201912857 ↗
41. 10.1021/jacs.6b0477810.1021/jacs.6b04778 ↗
42. 10.1039/c1cp21228a10.1039/c1cp21228a ↗
43. 10.1126/science.110643510.1126/science.1106435 ↗
44. 10.1021/acscatal.7b0054710.1021/acscatal.7b00547 ↗
45. 10.1021/acscatal.8b0506110.1021/acscatal.8b05061 ↗
46. 10.1016/j.mattod.2019.03.00210.1016/j.mattod.2019.03.002 ↗
47. 10.1038/s41565-020-00809-910.1038/s41565-020-00809-9 ↗