Evidence map›Paper›PMID 38998272›Full record

ArticleMaterials (Basel, Switzerland)2024

Silver-Assisted Chemical Etching for the Fabrication of Porous Silicon N-Doped Nanohollow Carbon Spheres Composite Anodes to Enhance Electrochemical Performance.

Zimu Zhang, Yuqi Zhang, Weixuan Chen, Xiang Zhang, Le Yu, Zisheng Guan

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Zimu ZhangCollege of Materials Science and Engineering, Nanjing Tech University, 30 South PuZhu Road, Nanjing 210009, China.
Yuqi ZhangCollege of Materials Science and Engineering, Nanjing Tech University, 30 South PuZhu Road, Nanjing 210009, China.
Weixuan ChenCollege of Materials Science and Engineering, Nanjing Tech University, 30 South PuZhu Road, Nanjing 210009, China.
Xiang ZhangCollege of Materials Science and Engineering, Nanjing Tech University, 30 South PuZhu Road, Nanjing 210009, China.
Le YuCollege of Materials Science and Engineering, Nanjing Tech University, 30 South PuZhu Road, Nanjing 210009, China.
Zisheng GuanCollege of Materials Science and Engineering, Nanjing Tech University, 30 South PuZhu Road, Nanjing 210009, China.

Funding

National Natural Science Foundation of China 51902157the Priority Academic Program Development of Jiangsu Higher Education Institutions PAPD
6 · The paper itself

Abstract

Silicon (Si) shows great potential as an anode material for lithium-ion batteries. However, it experiences significant expansion in volume as it undergoes the charging and discharging cycles, presenting challenges for practical implementation. Nanostructured Si has emerged as a viable solution to address these challenges. However, it requires a complex preparation process and high costs. In order to explore the above problems, this study devised an innovative approach to create Si/C composite anodes: micron-porous silicon (p-Si) was synthesized at low cost at a lower silver ion concentration, and then porous silicon-coated carbon (p-Si@C) composites were prepared by compositing nanohollow carbon spheres with porous silicon, which had good electrochemical properties. The initial coulombic efficiency of the composite was 76.51%. After undergoing 250 cycles at a current density of 0.2 A·g

Indexed as

lithium-ion batteriesporous siliconsilicon/carbon composite anodessilver-assisted chemical etching

Identifiers

PMID38998272
PMCPMC11242775

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.