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Record W2157640493 · doi:10.5539/ijc.v5n4p1

Study on the Electrolyte Containing AlBr3 and KBr for Rechargeable Aluminum Batteries

2013· article· en· W2157640493 on OpenAlexvenueno aff
Masanobu Chiku, H. Takeda, Yosuke Yamaguchi, Eiji Higuchi, Hiroshi Inoue

Bibliographic record

VenueInternational Journal of Chemistry · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryElectrolyteDissolutionRedoxGlassy carbonElectrodeDeposition (geology)Inorganic chemistryEthylbenzeneAluminiumScanning electron microscopeChemical engineeringElectrochemistryCyclic voltammetryOrganic chemistryCatalysisPhysical chemistryMaterials science

Abstract

fetched live from OpenAlex

The reversible redox reaction of Al3+/Al or Al deposition/dissolution was investigated in ethylbenzene containing AlBr3 and KBr as an electrolytic solution for rechargeable aluminum batteries. KBr as a supporting electrolyte was also necessary for the reversible Al deposition/dissolution. This reversible redox reaction was observed on both glassy carbon (GC) and Pt electrodes. However, the charge/discharge tests showed that the GC and Pt electrodes had different ratios of discharge capacity to charge capacity and current density for the Al deposition. A scanning electron micrograph of deposited metallic Al showed it had a rounded shape, suggesting that the growth of dangerous dendritic Al was efficiently inhibited in the present electrolyte solution.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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 head0.014
GPT teacher head0.240
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2013
Admission routes1
Has abstractyes

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