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Record W4408543626 · doi:10.1039/d4nr05203j

High-performance aqueous copper-ion batteries based on iron hexacyanoferrate cathodes for enhanced energy storage

2025· article· en· W4408543626 on OpenAlexfundno aff
Jinshu Zhang, Yuao Wang, Yantuo Li, Yang Yang, Mingyi Ning, Jianxue Wu, Bingjie Ma, Wei Liu

Bibliographic record

VenueNanoscale · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaInstitute of Nutrition, Metabolism and DiabetesMinistry of Education of the People's Republic of ChinaSoutheast UniversityNational Natural Science Foundation of China
KeywordsAqueous solutionCopperBattery (electricity)Intercalation (chemistry)CathodeIonMaterials scienceEnergy storageInorganic chemistryRange (aeronautics)ElectrochemistryChemical engineeringChemistryMetallurgyElectrodeComposite materialPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The intercalation/deintercalation mechanism of copper ions in iron hexacyanoferrate (FeHCF) was explored, and an aqueous battery with a voltage range of 1.6–2.5 V was prepared. These findings highlight the potential of FeHCF-based aqueous 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 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 score0.280
Threshold uncertainty score1.000

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 head0.010
GPT teacher head0.250
Teacher spread0.240 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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