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Record W4411645111 · doi:10.1002/adma.202503765

Ion‐Framework Electrolyte Featured Zinc‐Ion Transport for Solvent and Interphasial Co‐Passivation

2025· article· en· W4411645111 on OpenAlexaff
Jianze Feng, Xixian Li, Yunfa Dong, Yimou Wang, Weinan Zhao, Yuming Cui, Yuzhong Niu, Kai Liu, Zhongtao Li

Bibliographic record

VenueAdvanced Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsUniversity of Waterloo
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsElectrolytePassivationMaterials scienceElectrochemistryAnodeElectrochemical windowSolvationInorganic chemistryChemical engineeringIonElectrochemical potentialElectrodeNanotechnologyChemistryOrganic chemistryIonic conductivityPhysical chemistryLayer (electronics)

Abstract

fetched live from OpenAlex

Abstract The rapid application of zinc‐ion (Zn 2+ ) energy storage lacks favorable solvation structures to simultaneously form inert electrolyte environments and robust solid electrolyte interphase (SEI), which means that Zn 2+ devices cannot synchronously against the side reactions, Zn dendrites and narrow electrochemical stability windows, further hindering their wide operative voltage window and ultra‐long service life. Here, ion‐framework electrolytes are designed by using large‐sized inert‐ammonium salts as the main solute. The ion framework, assembled from ultra‐large solvation ion clusters containing large tetraethylammonium cations, large anions, and abundant solvents via electrostatic interactions, not only forms suitable channels for Zn 2+ transport but also constrains free solvents to passivate their electrochemical activity, achieving an ultra‐wide electrochemical stability window about 3.72 V. More importantly, the enrichment of the ion framework at Zn interface generates a homogenous SEI with the dense polymer‐inorganic hybrid structure to passivate the interphasial chemistry, which eliminates the Zn dendrites and side reactions. Therefore, Zn anode using this electrolyte achieves the ultra‐long cycling stability of 8,150 h, and Zn metal||activated carbon capacitors exhibit a high operative voltage (0–2.1 V) and ultra‐long cycle life (≈170,000 cycles at 10 A g −1 ). This electrolyte design principle is promising for addressing the typical challenges in other metal‐ion systems.

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 score0.407
Threshold uncertainty score0.848

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 head0.008
GPT teacher head0.293
Teacher spread0.286 · 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

Citations11
Published2025
Admission routes1
Has abstractyes

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