Evidence map›Paper›PMID 35919147›Full record

ArticleRSC advances2022

Investigation of the soft carbon microstructure in silicon/carbon anodes for superior lithium storage.

Juntao Du, Jiangkai Ma, Zetao Liu, Wenchao Wang, Huina Jia, Minxin Zhang, Yi Nie

Abstract read
In one paragraph

Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Juntao DuZhengzhou Institute of Emerging Industrial Technology Zhengzhou 450000 China jtdu@ipezz.ac.cn.ORCID https://orcid.org/0000-0002-6846-2434
Jiangkai MaZhengzhou Institute of Emerging Industrial Technology Zhengzhou 450000 China jtdu@ipezz.ac.cn.
Zetao LiuZhengzhou Institute of Emerging Industrial Technology Zhengzhou 450000 China jtdu@ipezz.ac.cn.
Wenchao WangZhengzhou Institute of Emerging Industrial Technology Zhengzhou 450000 China jtdu@ipezz.ac.cn.
Huina JiaZhengzhou Institute of Emerging Industrial Technology Zhengzhou 450000 China jtdu@ipezz.ac.cn.
Minxin ZhangZhengzhou Institute of Emerging Industrial Technology Zhengzhou 450000 China jtdu@ipezz.ac.cn.
Yi NieZhengzhou Institute of Emerging Industrial Technology Zhengzhou 450000 China jtdu@ipezz.ac.cn.ORCID https://orcid.org/0000-0002-4111-6136

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is essential to consider the controllable microstructure of soft carbon and its enhancement effect on the electrochemical performance of silicon (Si) active materials. In this study, a series of Si@mesocarbon microbead (Si@MCMB) composites were prepared using mesophase pitch as the soft carbon source to coat nano-Si. The results showed that the ordered carbon layer stacking of soft carbon increased slightly with increasing heat treatment temperature in the range of 800-1400 °C. The Si@MCMB composites at higher temperature had a turbostratic carbon layer texture with rich porosity and smaller specific surface area, and had good cycle stability and high rate performance. These results highlighted that the co-existing structure of turbostratic carbon arrays with abundant porosity from soft carbon, provided the electron/ion transfer channels, underwent Si alloy volume change and enhanced the mechanical stability. Importantly, the relationship between the capacity retention rate of the Si@MCMB anodes and the microstructural characteristics (carbon layer and porosity) of soft carbon was established, which provided effective guidance for the design of high-performance silicon/carbon (Si/C) anode materials.

Identifiers

PMID35919147
PMCPMC9295197

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.