Synthetic Strategy of Si@void@C Nanoparticles for High-Performance Lithium-Ion Battery Anodes
Source abstract
Abstract
Silicon anode materials have the absolute predominance of high theoretical specific capacity, but its conductivity is low. What is more, the huge volume expansion (∼300%) of silicon during cycling causes rapid capacity fading. Herein, high-performance Si@void@C nanoparticles are synthesized by a unique ZnO template and mild strategy for the first time. Compared with the traditional synthesis method, a milder and environmentally friendly synthesis strategy provides a new feasible scheme for the large-scale commercialization of silicon anodes. The carbon layer blocks the silicon from the electrolyte and improves the conductivity of materials, and the yolk–void–shell structure accommodates the volume expansion of silicon during cycling. Si@void@C nanoparticles prepared with the ZnO template show excellent cycle and rate performances compared with the traditional synthetic strategy. After 500 cycles, the specific capacity of Si@void@C still maintains 934 mA h g–1 at 1 A g–1, and the average specific capacity is as high as 1125.4 mA h g–1 at a high current density of 4 A g–1. To sum up, the potential of Si@void@C anode for lithium-ion batteries cannot be underestimated.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advancements in Battery Materials · Advanced Battery Materials and Technologies · Supercapacitor Materials and Fabrication
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemistry, School of Science, Tianjin University, Tianjin 300072, China
Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, China
Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Nankai University, Tianjin 300071, China
College of Chemistry and Chemical Engineering, Qinghai Nationalities University, Xining 810007, China
Funding
MOE Key Laboratory of Advanced Energy Materials Chemistry, Nankai University
References (55)
Show source-provided references
1. 10.1016/j.egyr.2022.03.01610.1016/j.egyr.2022.03.016 ↗
2. 10.1002/smtd.20220041110.1002/smtd.202200411 ↗
3. 10.1039/d2dt01415g10.1039/d2dt01415g ↗
4. 10.1039/c1ee01598b10.1039/c1ee01598b ↗
5. 10.1039/d1se01494c10.1039/d1se01494c ↗
6. 10.1021/acsnano.1c0589810.1021/acsnano.1c05898 ↗
7. 10.1002/adfm.20210254610.1002/adfm.202102546 ↗
8. 10.1016/j.cej.2020.12538010.1016/j.cej.2020.125380 ↗
9. 10.1002/sstr.20210000910.1002/sstr.202100009 ↗
10. 10.1016/j.nanoen.2020.10514310.1016/j.nanoen.2020.105143 ↗
11. 10.1039/d1cs00450f10.1039/d1cs00450f ↗
12. 10.1039/c8ta05336g10.1039/c8ta05336g ↗
13. 10.1021/acsaem.0c0030010.1021/acsaem.0c00300 ↗
14. 10.1016/j.esci.2021.11.00610.1016/j.esci.2021.11.006 ↗
15. 10.1016/j.jallcom.2021.16179210.1016/j.jallcom.2021.161792 ↗
16. 10.1021/acsaem.8b0155310.1021/acsaem.8b01553 ↗
17. 10.1016/j.jpowsour.2022.23140810.1016/j.jpowsour.2022.231408 ↗
18. 10.1016/j.ensm.2022.01.00510.1016/j.ensm.2022.01.005 ↗
19. 10.1016/j.jcis.2021.11.09910.1016/j.jcis.2021.11.099 ↗
20. Zhu C. · Nanotechnology · 2021 · 32 · 08540310.1088/1361-6528/abc77f ↗
21. 10.1016/j.electacta.2012.10.00810.1016/j.electacta.2012.10.008 ↗
22. 10.1016/j.electacta.2014.01.09410.1016/j.electacta.2014.01.094 ↗
23. 10.1016/j.jallcom.2020.15753010.1016/j.jallcom.2020.157530 ↗
24. 10.1021/acsnano.9b0724110.1021/acsnano.9b07241 ↗
25. 10.1021/nl301481410.1021/nl3014814 ↗
26. 10.1016/j.ultramic.2022.11353710.1016/j.ultramic.2022.113537 ↗
27. 10.1016/j.electacta.2022.14048910.1016/j.electacta.2022.140489 ↗
28. 10.1016/j.electacta.2022.14051510.1016/j.electacta.2022.140515 ↗
29. 10.1021/acsaem.1c0278510.1021/acsaem.1c02785 ↗
30. 10.1016/j.susmat.2022.e0041010.1016/j.susmat.2022.e00410 ↗
31. 10.1021/jp072778d10.1021/jp072778d ↗
32. 10.1039/d0ta06647h10.1039/d0ta06647h ↗
33. 10.1039/d0cc02967j10.1039/d0cc02967j ↗
34. 10.1016/j.electacta.2021.13873610.1016/j.electacta.2021.138736 ↗
35. 10.1021/acsami.7b1672410.1021/acsami.7b16724 ↗
36. 10.1002/aenm.20160148110.1002/aenm.201601481 ↗
37. 10.1016/j.jcis.2022.05.13510.1016/j.jcis.2022.05.135 ↗
38. 10.1021/acsaem.2c0058010.1021/acsaem.2c00580 ↗
39. 10.1016/j.cclet.2021.10.03910.1016/j.cclet.2021.10.039 ↗
40. 10.1016/j.compositesb.2021.10879910.1016/j.compositesb.2021.108799 ↗
41. 10.1021/acsaem.1c0318610.1021/acsaem.1c03186 ↗
42. 10.1039/d0qi00302f10.1039/d0qi00302f ↗
43. 10.1016/j.jcis.2021.06.14710.1016/j.jcis.2021.06.147 ↗
44. 10.1149/1.165242110.1149/1.1652421 ↗
45. 10.1002/celc.20170017310.1002/celc.201700173 ↗
46. 10.1016/j.jpcs.2021.10996510.1016/j.jpcs.2021.109965 ↗
47. 10.1039/c9cc07997a10.1039/c9cc07997a ↗
48. 10.1021/acsami.1c2265610.1021/acsami.1c22656 ↗
49. 10.1016/j.ssi.2018.01.03910.1016/j.ssi.2018.01.039 ↗
50. 10.1016/j.electacta.2019.01.12610.1016/j.electacta.2019.01.126 ↗
51. 10.1021/acsaem.1c0035110.1021/acsaem.1c00351 ↗
52. 10.1021/acsaem.1c0139610.1021/acsaem.1c01396 ↗
53. 10.1016/j.electacta.2020.13621110.1016/j.electacta.2020.136211 ↗
54. 10.1002/ppsc.20200028810.1002/ppsc.202000288 ↗
55. 10.1016/j.apsusc.2019.14382910.1016/j.apsusc.2019.143829 ↗