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  5. Accurately Localizing Multiple Nanoparticles in a Multishelled Matrix Through Shell‐to‐Core Evolution for Maximizing Energy‐Storage Capability

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Article
en
2022

Accurately Localizing Multiple Nanoparticles in a Multishelled Matrix Through Shell‐to‐Core Evolution for Maximizing Energy‐Storage Capability

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0 Files

en
2022
Vol 34 (18)
Vol. 34
DOI: 10.1002/adma.202200206

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Lin Gu
Lin Gu

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Bo Li
Jiangyan Wang
Ruyi Bi
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Abstract

Robust and fast lithium energy storage with a high energy density is highly desired to accelerate the market adoption of electric vehicles. To realize such a goal requires the development of electrode materials with a high capacity, however, such electrode materials suffer from huge volume expansion and induced short cycling life. Here, using tin (Sn) as an example, an ideal structure is designed to effectively solve these problems by separately localizing multiple Sn nanoparticles in a nitrogen-doped carbon hollow multishelled structure with duplicated layers for carbon shell (Sn NPs@Nx C HoMS-DL). The fabricated composite can promote ion and electron diffusion owing to the conductive network formed by connected multiple shells and cores, effectively buffer the volume expansion, and maintain a stable electrode-electrolyte interface. Despite the challenging fabrication, such a structure is realized through an innovative and facile synthesis strategy of "in situ evolution of shell to core", which is applicable for diverse low-melting-point materials. As expected, such a structure enables the high-capacity electrode material to realize nearly its theoretical lithium-storage capability: the developed Sn NPs@Nx C HoMS-DL electrode maintains 96% of its theoretical capacity after 2000 cycles at 2C.

How to cite this publication

Bo Li, Jiangyan Wang, Ruyi Bi, Nailiang Yang, Jiawei Wan, Hongyu Jiang, Lin Gu, Jiang Du, Amin Cao, Wei Gao, Dan Wang (2022). Accurately Localizing Multiple Nanoparticles in a Multishelled Matrix Through Shell‐to‐Core Evolution for Maximizing Energy‐Storage Capability. , 34(18), DOI: https://doi.org/10.1002/adma.202200206.

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Publication Details

Type

Article

Year

2022

Authors

11

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adma.202200206

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