MétaCan
Menu
Back to cohort
Record W4416810201 · doi:10.1002/aenm.202504229

Alkyl Ammonium Halides Solubilizer‐Mediated Interfacial Engineering Enables Reversible Divalent Metal Batteries

2025· article· en· W4416810201 on OpenAlexaff
Kai Liu, Yujie Chen, Shuo San, Chenchen Fang, Liang Xue, Wenyao Zhang, Pan Xiong, Yongsheng Fu, Zhen Hou, Jingwen Sun, Junwu Zhu

Bibliographic record

VenueAdvanced Energy Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsMinistry of Education and Child Care
FundersNational Key Research and Development Program of ChinaState Key Laboratory of Chemical Resource EngineeringBeijing University of Chemical TechnologyBeijing Technology and Business UniversityGovernment of Jiangsu ProvinceNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsElectrolyteHalideElectrochemistryIodideMetalAlkylAmmoniumMetal halides

Abstract

fetched live from OpenAlex

ABSTRACT The development of reversible calcium and magnesium metal batteries is plagued by the formation of ion‐blocking solid electrolyte interphases (SEIs) on metal surfaces. CaI 2 phase is recognized as a beneficial component for facilitating Ca 2+ transport, but low solubility of CaI 2 electrolyte results in CaI 2 ‐deficient SEIs and impedes Ca 2+ migration kinetics. Herein, a family of alkyl ammonium iodide (RNH 3 I) solubilizers is reported to reorganize Ca 2+ solvation structure, forming soluble I − ‐rich complex to effectively promote CaI 2 salt dissolution. The elevated I − concentration in CaI 2 /RNH 3 I electrolytes enriches CaI 2 species within the SEIs, while electrochemical reduction of RNH 3 + cations generates a Ca 3 N 2 component with a favorable migration barrier. Thanks to an enhanced Ca 2+ migration kinetics in CaI 2 /Ca 3 N 2 hybrid SEIs, the developed electrolytes realizes an over 20‐fold reduction in voltage polarization compared to blank CaI 2 counterpart, enabling stable cycling of reversible Ca metal batteries. Furthermore, this solubilization strategy could be readily extended to Mg metal batteries with electrochemical performance enhancements, demonstrating a universal electrolyte design concept for engineering divalent metal batteries’ interface.

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 categoriesMeta-epidemiology (narrow)
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 score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.214
Teacher spread0.207 · 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.

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

Explore more

Same venueAdvanced Energy MaterialsSame topicAdvancements in Battery MaterialsFrench-language works237,207