journal article·2024-04

Boosted Oxygen Kinetics of Hierarchically Mesoporous Mo2C/C for High‐current‐density Zn–air Battery

Jun‐Ye Zhang, Chenfeng Xia, Yaqiong Su, Lianhai Zu, Zaiwang Zhao, Peng Li, Zirui Lv, Jiazheng Wang, Bingbao Mei, Kun Lan, Tiancong Zhao, Pengfei Zhang, Weinan Chen, Shahid Zaman, Yi Liu, Liang Peng, Bao Yu Xia, Ahmed Elzatahry, Wei Li, Dongyuan Zhao

Small· Volume 20· Issue 15
Publisher page

Abstract

Abstract The high‐current‐density Zn–air battery shows big prospects in next‐generation energy technologies, while sluggish O2 reaction and diffusion kinetics barricade the applications. Herein, the sequential assembly is innovatively demonstrated for hierarchically mesoporous molybdenum carbides/carbon microspheres with a tunable thickness of mesoporous carbon layers (Meso‐Mo2C/C‐x, where x represents the thickness). The optimum Meso‐Mo2C/C‐14 composites (≈2 µm in diameter) are composed of mesoporous nanosheets (≈38 nm in thickness), which possess bilateral mesoporous carbon layers (≈14 nm in thickness), inner Mo2C/C layers (≈8 nm in thickness) with orthorhombic Mo2C nanoparticles (≈2 nm in diameter), a high surface area of ≈426 m2 g−1, and open mesopores (≈6.9 nm in size). Experiments and calculations corroborate the hierarchically mesoporous Mo2C/C can enhance hydrophilicity for supplying sufficient O2, accelerate oxygen reduction kinetics by highly‐active Mo2C and N‐doped carbon sites, and facilitate O2 diffusion kinetics over hierarchically mesopores. Therefore, Meso‐Mo2C/C‐14 outputs a high half‐wave potential (0.88 V vs RHE) with a low Tafel slope (51 mV dec−1) for oxygen reduction. More significantly, the Zn–air battery delivers an ultrahigh power density (272 mW cm−2), and an unprecedented 100 h stability at a high‐current‐density condition (100 mA cm−2), which is one of the best performances.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Electrocatalysts for Energy Conversion · Advanced battery technologies research · Supercapacitor Materials and Fabrication

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

Affiliations

Laboratory of Advanced Materials Department of Chemistry Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials and State Key Laboratory of Molecular Engineering of Polymers School of Chemistry and Materials Fudan University Shanghai 200433 P. R. China

School of Chemistry and Chemical Engineering Huazhong University of Science and Technology 1037 Luoyu Road Wuhan 430074 P. R. China

School of Chemistry Xi'an Jiaotong University Xi'an 710049 P. R. China

College of Chemistry and Chemical Engineering Xiamen University Xiamen 361005 P. R. China

Shanghai Institute of Applied Physics Shanghai Synchrotron Radiation Facility Chinese Academy of Sciences Shanghai 201204 P. R. China

Department of Physics and Materials Science College of Arts and Sciences Qatar University PO Box 2713 Doha 2713 Qatar

Funding

National Basic Research Program of China · National Natural Science Foundation of China · Science and Technology Commission of Shanghai Municipality · Shanghai Rising-Star Program

References (54)

Show source-provided references
1. 10.1021/acs.chemrev.1c0023610.1021/acs.chemrev.1c00236 ↗
2. 10.1021/acs.accounts.9b0035710.1021/acs.accounts.9b00357 ↗
3. 10.1002/adma.20211012810.1002/adma.202110128 ↗
4. 10.1002/anie.20211275210.1002/anie.202112752 ↗
5. 10.1021/jacs.1c0590710.1021/jacs.1c05907 ↗
6. 10.1038/s41467-021-23150-810.1038/s41467-021-23150-8 ↗
7. 10.1002/anie.20150217310.1002/anie.201502173 ↗
8. 10.1021/acscatal.7b0210110.1021/acscatal.7b02101 ↗
9. 10.1021/jacs.9b0696210.1021/jacs.9b06962 ↗
10. 10.1002/anie.20211617910.1002/anie.202116179 ↗
11. 10.1016/j.chempr.2021.01.00110.1016/j.chempr.2021.01.001 ↗
12. 10.1002/cey2.21310.1002/cey2.213 ↗
13. 10.1002/aenm.20220043410.1002/aenm.202200434 ↗
14. 10.1021/acsenergylett.1c0185510.1021/acsenergylett.1c01855 ↗
15. 10.1038/nenergy.2015.610.1038/nenergy.2015.6 ↗
16. 10.1038/s41929-017-0008-y10.1038/s41929-017-0008-y ↗
17. 10.1021/acsnano.1c0244010.1021/acsnano.1c02440 ↗
18. 10.1002/smll.20220314710.1002/smll.202203147 ↗
19. 10.1002/adma.20190233910.1002/adma.201902339 ↗
20. 10.1002/adma.20200217010.1002/adma.202002170 ↗
21. 10.1002/adma.20170318510.1002/adma.201703185 ↗
22. 10.1002/adma.20200229210.1002/adma.202002292 ↗
23. 10.1002/adma.20190468910.1002/adma.201904689 ↗
24. 10.1002/anie.20191412310.1002/anie.201914123 ↗
25. 10.1126/science.117037710.1126/science.1170377 ↗
26. 10.1021/jacs.0c1228210.1021/jacs.0c12282 ↗
27. 10.1021/nn102767d10.1021/nn102767d ↗
28. 10.1021/jacs.2c0381410.1021/jacs.2c03814 ↗
29. 10.1002/adma.20130256910.1002/adma.201302569 ↗
30. 10.1039/C7MH00586E10.1039/C7MH00586E ↗
31. 10.1002/anie.20181363410.1002/anie.201813634 ↗
32. 10.1002/anie.20180187610.1002/anie.201801876 ↗
33. 10.1021/jacs.7b0422110.1021/jacs.7b04221 ↗
34. 10.1002/smll.20170124610.1002/smll.201701246 ↗
35. 10.1002/anie.20210834310.1002/anie.202108343 ↗
36. 10.1039/C4CC04099F10.1039/C4CC04099F ↗
37. 10.1021/cm503425d10.1021/cm503425d ↗
38. 10.1021/jacs.9b0209110.1021/jacs.9b02091 ↗
39. 10.1002/smll.20180009010.1002/smll.201800090 ↗
40. 10.1126/science.114724110.1126/science.1147241 ↗
41. 10.1039/c0py00215a10.1039/c0py00215a ↗
42. 10.1002/chem.20140224110.1002/chem.201402241 ↗
43. 10.1039/C9TA01478K10.1039/C9TA01478K ↗
44. 10.1021/acsnano.1c0136710.1021/acsnano.1c01367 ↗
45. 10.1038/s41929-019-0297-410.1038/s41929-019-0297-4 ↗
46. 10.1126/sciadv.abb143510.1126/sciadv.abb1435 ↗
47. 10.1038/s41929-019-0402-810.1038/s41929-019-0402-8 ↗
48. 10.1039/D0EE01613F10.1039/D0EE01613F ↗
49. 10.1126/science.aad083210.1126/science.aad0832 ↗
50. 10.1002/aenm.20220000110.1002/aenm.202200001 ↗
51. 10.1016/j.apcatb.2022.12145410.1016/j.apcatb.2022.121454 ↗
52. 10.1002/anie.20220302210.1002/anie.202203022 ↗
53. 10.1038/s41586-021-03482-710.1038/s41586-021-03482-7 ↗
54. 10.1021/acsenergylett.8b0018610.1021/acsenergylett.8b00186 ↗