Nature-Inspired 2D-Mosaic 3D-Gradient Mesoporous Framework: Bimetal Oxide Dual-Composite Strategy toward Ultrastable and High-Capacity Lithium Storage
Source abstract
Abstract
In allusion to traditional transition-metal oxide (TMO) anodes for lithium-ion batteries, which face severe volume variation and poor conductivity, herein a bimetal oxide dual-composite strategy based on two-dimensional (2D)-mosaic three-dimensional (3D)-gradient design is proposed. Inspired by natural mosaic dominance phenomena, Zn 1– x Co x O/ZnCo 2 O 4 2D-mosaic-hybrid mesoporous ultrathin nanosheets serve as building blocks to assemble into a 3D Zn–Co hierarchical framework. Moreover, a series of derivative frameworks with high evolution are controllably synthesized, based on which a facile one-pot synthesis process can be developed. From a component-composite perspective, both Zn 1– x Co x O and ZnCo 2 O 4 provide superior conductivity due to bimetal doping effect, which is verified by density functional theory calculations. From a structure-composite perspective, 2D-mosaic-hybrid mode gives rise to ladder-type buffering and electrochemical synergistic effect, thus realizing mutual stabilization and activation between the mosaic pair, especially for Zn 1– x Co x O with higher capacity yet higher expansion. Moreover, the inside-out Zn–Co concentration gradient in 3D framework and rich oxygen vacancies further greatly enhance Li storage capability and stability. As a result, a high reversible capacity (1010 mA h g –1 ) and areal capacity (1.48 mA h cm –2 ) are attained, while ultrastable cyclability is obtained during high-rate and long-term cycles, rending great potential of our 2D-mosaic 3D-gradient design together with facile synthesis.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advancements in Battery Materials · Supercapacitor Materials and Fabrication · Advanced Battery Materials and Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Beijing Key Laboratory of Ionic Liquid Clean Process, Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
University of Chinese Academy of Sciences, Beijing 100049, China
Funding
Ministry of Science and Technology of the People's Republic of China · Natural Science Foundation of Beijing Municipality · National Natural Science Foundation of China · Chinese Academy of Sciences
References (62)
Show source-provided references
1. 10.1126/science.aan681410.1126/science.aan6814 ↗
2. 10.1039/C5CS00937E10.1039/C5CS00937E ↗
3. 10.1038/ncomms1390710.1038/ncomms13907 ↗
4. 10.1038/nenergy.2017.8910.1038/nenergy.2017.89 ↗
5. 10.1002/adma.20170017610.1002/adma.201700176 ↗
6. 10.1021/acsnano.5b0797710.1021/acsnano.5b07977 ↗
7. 10.1016/j.nanoen.2014.10.02710.1016/j.nanoen.2014.10.027 ↗
8. 10.1002/adma.20160016410.1002/adma.201600164 ↗
9. 10.1002/adma.20170098910.1002/adma.201700989 ↗
10. 10.1021/acsnano.7b0074910.1021/acsnano.7b00749 ↗
11. 10.1038/nnano.2014.610.1038/nnano.2014.6 ↗
12. 10.1002/aenm.20160148110.1002/aenm.201601481 ↗
13. 10.1002/anie.20150147510.1002/anie.201501475 ↗
14. 10.1021/acsnano.7b0227510.1021/acsnano.7b02275 ↗
15. 10.1016/j.nanoen.2016.04.04310.1016/j.nanoen.2016.04.043 ↗
16. 10.1021/acs.nanolett.7b0088910.1021/acs.nanolett.7b00889 ↗
17. 10.1002/aenm.20170111010.1002/aenm.201701110 ↗
18. 10.1002/adma.20160560710.1002/adma.201605607 ↗
19. 10.1002/adma.20130316110.1002/adma.201303161 ↗
20. 10.1021/nn506851x10.1021/nn506851x ↗
21. 10.1002/aenm.20140222510.1002/aenm.201402225 ↗
22. 10.1007/s12274-011-0160-710.1007/s12274-011-0160-7 ↗
23. 10.1021/acsnano.5b0735210.1021/acsnano.5b07352 ↗
24. 10.1002/adfm.20130344210.1002/adfm.201303442 ↗
25. 10.1002/anie.20161091410.1002/anie.201610914 ↗
26. 10.1038/ncomms1172210.1038/ncomms11722 ↗
27. 10.1002/adfm.20140282710.1002/adfm.201402827 ↗
28. 10.1002/adfm.20170044710.1002/adfm.201700447 ↗
29. 10.1038/nmat343510.1038/nmat3435 ↗
30. 10.1038/natrevmats.2016.1310.1038/natrevmats.2016.13 ↗
31. 10.1038/nmat481010.1038/nmat4810 ↗
32. 10.1021/acsnano.5b0076010.1021/acsnano.5b00760 ↗
33. 10.1038/nature2515510.1038/nature25155 ↗
34. 10.1002/adma.20080024310.1002/adma.200800243 ↗
35. 10.1002/aenm.20160119610.1002/aenm.201601196 ↗
36. 10.1021/acsnano.6b0651210.1021/acsnano.6b06512 ↗
37. 10.1039/c1jm12721g10.1039/c1jm12721g ↗
38. 10.1021/jp054153q10.1021/jp054153q ↗
39. 10.1002/adma.20170142710.1002/adma.201701427 ↗
40. 10.1021/acsnano.5b0665010.1021/acsnano.5b06650 ↗
41. 10.1039/C4EE00508B10.1039/C4EE00508B ↗
42. 10.1039/C4TA02378A10.1039/C4TA02378A ↗
43. 10.1038/ncomms664410.1038/ncomms6644 ↗
44. 10.1111/j.1420-9101.2010.02043.x10.1111/j.1420-9101.2010.02043.x ↗
45. 10.1039/C7EE01917C10.1039/C7EE01917C ↗
46. 10.1002/adfm.20150469510.1002/adfm.201504695 ↗
47. 10.1002/anie.20150347710.1002/anie.201503477 ↗
48. 10.1002/aenm.20140069610.1002/aenm.201400696 ↗
49. 10.1002/anie.20150222610.1002/anie.201502226 ↗
50. 10.1002/anie.20161041310.1002/anie.201610413 ↗
51. 10.1016/j.cej.2017.03.14810.1016/j.cej.2017.03.148 ↗
52. 10.1039/C5TA01111F10.1039/C5TA01111F ↗
53. 10.1039/C6NJ00457A10.1039/C6NJ00457A ↗
54. 10.1021/nn301454q10.1021/nn301454q ↗
55. 10.1016/j.nanoen.2014.09.02010.1016/j.nanoen.2014.09.020 ↗
56. 10.1016/j.electacta.2017.09.04210.1016/j.electacta.2017.09.042 ↗
57. 10.1039/c2jm00123c10.1039/c2jm00123c ↗
58. 10.1002/adma.20170028610.1002/adma.201700286 ↗
59. 10.1002/aenm.20150175510.1002/aenm.201501755 ↗
60. 10.1039/C5TA00808E10.1039/C5TA00808E ↗
61. 10.1126/science.aaf899110.1126/science.aaf8991 ↗
62. 10.1039/C7NR02941A10.1039/C7NR02941A ↗