Yolk-Shell Silicon-Carbon Anodes with Interconnected N-Doped Carbon Networks for Stable Lithium-Ion Storage.

Yi Zhou, Yi Zhang, Zhanhong Zhao, Yansen Qu, Jiajun Wu, Xueqin Ma, Xinghua Chang

Abstract read

In one paragraph

Article in Materials (Basel, Switzerland), 2026. 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.

Silicon-based anode materials for high-capacity lithium-ion batteries: recent advances and challenges.RSC advances · 2026
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.

Yi ZhouSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.

Yi ZhangSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.ORCID 0000-0003-0391-7159

Zhanhong ZhaoSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.

Yansen QuSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.ORCID 0009-0003-3494-2426

Jiajun WuSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.

Xueqin MaSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.

Xinghua ChangSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.ORCID 0000-0002-3136-7556

Funding

the Changsha Outstanding Young Science and Technology Talent Cultivation Program No. kq2506012the Key Research and Transformation Program of Qinghai Province 2025QY252the Key Scientific Research Foundation of Education department of Hunan Province, China No. 24A0003the science and technology innovation Program of Hunan Province 2025RC3002

6 · The paper itself

Abstract

Silicon-based anodes are considered promising alternatives to graphite anodes owing to their high theoretical lithium-storage capacity and abundant reserves. However, silicon nanoparticle anodes are severely limited by large volume expansion, unstable interfacial chemistry, and poor electrical connectivity during repeated lithiation/delithiation. Herein, we develop a yolk-shell N-doped carbon network (NCN) strategy to construct Si@void@NCN composites. The optimized Si@void@NCN-1 achieves a balanced architecture between void buffering and carbon network integrity, delivering a high initial discharge capacity of 1245.5 mAh g

Indexed as

lithium-ion batteriesN-doped carbon networkSi/C compositessilicon-carbon anodevoid-buffer structure

Identifiers

PMID42279940

DOI10.3390/ma19112286

PMCPMC13257925

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.