Optimizing Ru Metallene Catalytic Cathodes via Compressive Strain Engineering for an Improved Li–CO2 Battery
Source abstract
Abstract
Ru-based catalysts have already shown potential advantages in Li–CO 2 batteries. The strain regulation strategy has been widely used in various catalysts to achieve catalytic activity enhancement. In this study, seven different strained Ru X metallenes were systemically researched by first-principles calculations, where X = ±6, ±4, ±2, and 0%. The structure and electronic properties of Ru X metallenes were investigated as well as adsorption energies of reactants, reaction thermodynamics, and electrochemical performance. The results showed that lattice expansion contributed to an upward shift in the d-band center, which enhanced the strength of the CO 2 adsorption on Ru X . A linear relationship between CO 2 activation and lattice strain was demonstrated by analyzing the bond lengths, bond strengths of C–O, and bond angles of CO 2 . Specifically, under tensile strain, the CO 2 activation on Ru X was gradually improved. Among all Ru X, Ru –2 metallene with an appropriate CO 2 adsorption energy exhibited the lowest reaction energy (0.93 eV) for the rate-determining step of Li 2 CO 3 and C formation and the lowest overpotential (0.85 V), demonstrating its excellent catalytic performance in Li–CO 2 batteries. This work elucidated the electrochemical mechanism of strain regulation on Ru X metallenes as cathode catalysts for Li–CO 2 batteries and provided valuable insights for designing metal catalysts with improved catalytic activity.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advancements in Battery Materials · Advanced Battery Materials and Technologies · Electrocatalysts for Energy Conversion
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Zhejiang University-Quzhou
College of Science
Yanbian University
Northwest Institute for Non-ferrous Metal Research
College of Chemical and Biological Engineering
Zhejiang University
Funding
Natural Science Basic Research Program of Shaanxi Province · National Natural Science Foundation of China · Natural Science Foundation of Zhejiang Province · Development project of Zhejiang Province's Jianbing and Lingyan · Research Funds of Institute of Zhejiang University-Quzhou
References (49)
Show source-provided references
1. 10.1002/advs.20210255010.1002/advs.202102550 ↗
2. 10.1039/D3TA06915J10.1039/D3TA06915J ↗
3. 10.1016/j.mtphys.2023.10130710.1016/j.mtphys.2023.101307 ↗
4. 10.1016/j.gee.2021.10.00310.1016/j.gee.2021.10.003 ↗
5. 10.1021/acs.jpclett.3c0006010.1021/acs.jpclett.3c00060 ↗
6. 10.1039/D4SC00383G10.1039/D4SC00383G ↗
7. 10.1016/j.apsusc.2023.15649310.1016/j.apsusc.2023.156493 ↗
8. 10.1002/adfm.20220273710.1002/adfm.202202737 ↗
9. 10.1016/j.nxmate.2024.10033410.1016/j.nxmate.2024.100334 ↗
10. 10.1021/acsnano.1c1000710.1021/acsnano.1c10007 ↗
11. 10.1002/smll.20190222010.1002/smll.201902220 ↗
12. 10.1002/adma.20241165210.1002/adma.202411652 ↗
13. 10.1021/acsenergylett.4c0156710.1021/acsenergylett.4c01567 ↗
14. 10.1039/D2TA02495K10.1039/D2TA02495K ↗
15. 10.1002/adma.20180312410.1002/adma.201803124 ↗
16. 10.1002/cssc.20240155810.1002/cssc.202401558 ↗
17. 10.1021/acsomega.7b0149510.1021/acsomega.7b01495 ↗
18. 10.1016/j.mtnano.2021.10011110.1016/j.mtnano.2021.100111 ↗
19. 10.1016/j.scib.2017.08.01510.1016/j.scib.2017.08.015 ↗
20. 10.1038/s41929-018-0054-010.1038/s41929-018-0054-0 ↗
21. 10.1002/adma.20220987610.1002/adma.202209876 ↗
22. 10.1002/adma.20220413410.1002/adma.202204134 ↗
23. 10.1039/C8CC09063G10.1039/C8CC09063G ↗
24. 10.1007/s12274-023-6392-510.1007/s12274-023-6392-5 ↗
25. 10.1038/s41586-021-03870-z10.1038/s41586-021-03870-z ↗
26. 10.1126/science.aat805110.1126/science.aat8051 ↗
27. 10.1021/acsnano.3c0138010.1021/acsnano.3c01380 ↗
28. 10.1016/j.mtchem.2024.10241810.1016/j.mtchem.2024.102418 ↗
29. 10.1038/s41586-019-1603-710.1038/s41586-019-1603-7 ↗
30. 10.1039/D3CP04209J10.1039/D3CP04209J ↗
31. 10.1007/s13538-024-01523-w10.1007/s13538-024-01523-w ↗
32. 10.1016/j.commatsci.2021.11066510.1016/j.commatsci.2021.110665 ↗
33. 10.1016/j.commatsci.2020.11010010.1016/j.commatsci.2020.110100 ↗
34. 10.1039/D2TA09599H10.1039/D2TA09599H ↗
35. 10.1016/j.seppur.2024.12648910.1016/j.seppur.2024.126489 ↗
36. 10.1021/jacs.1c1209610.1021/jacs.1c12096 ↗
37. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
38. 10.1016/j.jcis.2024.01.05110.1016/j.jcis.2024.01.051 ↗
39. 10.1016/j.cattod.2020.04.05910.1016/j.cattod.2020.04.059 ↗
40. 10.1002/adma.20230888910.1002/adma.202308889 ↗
41. 10.1016/j.seppur.2024.12655210.1016/j.seppur.2024.126552 ↗
42. 10.1146/annurev-physchem-050317-02135310.1146/annurev-physchem-050317-021353 ↗
43. 10.1021/acs.nanolett.5b0036710.1021/acs.nanolett.5b00367 ↗
44. 10.1002/adfm.20221021810.1002/adfm.202210218 ↗
45. 10.1016/j.fuel.2023.12754110.1016/j.fuel.2023.127541 ↗
46. 10.1038/s41467-022-31660-210.1038/s41467-022-31660-2 ↗
47. 10.1021/acscatal.3c0593910.1021/acscatal.3c05939 ↗
48. 10.1039/C6EE03770D10.1039/C6EE03770D ↗
49. 10.1021/jacs.9b1286810.1021/jacs.9b12868 ↗