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Record W4409270657 · doi:10.1002/smll.202502237

Surface Electric Field Shielding for Passivation‐Free Zinc Anode Dissolution in Alkaline Batteries

2025· article· en· W4409270657 on OpenAlexaff
Haoyun Wei, Chen Wang, Xiaolu Ye, Ling Gao, Tan Wang, Wei‐Hsiang Huang, Cong Feng, Weisheng Liao, Min‐Hsin Yeh, Guo‐Xing Miao, Jing Fu

Bibliographic record

VenueSmall · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsUniversity of Waterloo
FundersShanghai Municipal Education CommissionNational Natural Science Foundation of China
KeywordsPassivationZincMaterials scienceGalvanic anodeAnodeElectrolyteDissolutionElectromagnetic shieldingChemical engineeringInorganic chemistryElectrodeMetallurgyLayer (electronics)Cathodic protectionComposite materialChemistry

Abstract

fetched live from OpenAlex

Abstract Zinc anodes in alkaline electrolytes undergo spontaneous passivation, severely reducing their capacity utilization and battery performance. Strategies such as fabricating zinc powder or sponge structures improve zinc utilization by increasing reaction surface areas but often exacerbate hydrogen evolution. Here an alternative approach is reported: shielding the zinc reaction surface with miniature Faraday cages to reduce undesirable current crowding and mitigate passivation. This is demonstrates with an interwoven layer structure of bismuth dendrites on zinc plate anodes (Bi@Zn), achieving near‐complete zinc dissolution and over 100 mAh cm −2 discharge capacity, even in low alkaline or lean electrolytes where bare zinc fails rapidly. Multi‐scale characterizations and simulations reveal that bismuth (Bi) Faraday cages delay passivation by dissipating localized electric fields, thereby suppressing Zn(OH)₄ 2 ⁻ accumulation and resultant ZnO precipitation near the reaction surface. As a result, a primary zinc‐air battery using Bi@Zn achieves full discharge, whereas bare zinc fails at one‐tenth of the discharge depth. Moreover, the Bi shielding layer enhances zinc anode reversibility, shown by a fivefold improvement in cycling stability of a nickel‐zinc rechargeable battery with 10 mAh cm⁻ 2 at 20 mA cm⁻ 2 . Importantly, the similar high zinc utilization achieved with copper shielding layers underscores the effectiveness of surface electric field shielding strategy.

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 score0.395
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.275
Teacher spread0.256 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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