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Record W4415151725 · doi:10.1002/cssc.202501774

Optimizing the Performance of Sodium‐Ion Battery through Suppressing ZnS Anode Alloy Reaction

2025· article· en· W4415151725 on OpenAlexafffund
Ruilin Zhu, Xin Tao, Zemin He, Lianghao Yu, Tiantian Wei, Haoliang Xie, Jingjing Xie, Pan Li, K. Chan Shin Yu, Jun Li, Huile Jin, Shun Wang, Jichang Wang

Bibliographic record

VenueChemSusChem · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsAnodeNanoporousAlloyNanoparticleBattery (electricity)PorositySulfide

Abstract

fetched live from OpenAlex

Zinc sulfide (ZnS) is a promising anode material for sodium‐ion batteries (SIBs) due to its high theoretical capacity and cost‐effectiveness. However, the alloying reaction of ZnS causes severe volume expansion, leading to material pulverization and capacity decay. To address this, a sandwich‐structured ZnS/porous MXene (ZnS/PMX) composite is designed, where ZnS nanoparticles are anchored on PMX porous layers via ZnOTi interfacial bonding. The nanoporous structure of PMX creates vertical ion transport pathways, enabling faster sodium‐ion diffusion and overcoming the limitations of conventional 2D MXene. Additionally, the confinement effect of PMX suppresses the alloying reaction of ZnS, enhancing its structural stability. As an SIB anode, ZnS/PMX maintains capacities of 414.8 mA h g − 1 after 2100 cycles at 5.0 A g − 1 , 322.9 mA h g − 1 after 3300 cycles at 10.0 A g − 1 , and 276.9 mA h g − 1 after 4100 cycles at 20.0 A g − 1 . This performance benefits from the confinement effects of PMX, which effectively suppresses the alloying reaction and enhances ZnS stability. The results shed new light on the design of metal sulfide/MXene hybrid materials for alkali metal batteries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.248
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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