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Record W2155950021 · doi:10.1149/1.1516412

Electrochemical Capacitance in Manganese Thin Films with Chevron Microstructure

2002· article· en· W2155950021 on OpenAlexafffund
J. N. Broughton, Michael J. Brett

Bibliographic record

VenueElectrochemical and Solid-State Letters · 2002
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Alberta
KeywordsMaterials scienceCyclic voltammetryCapacitanceMicrostructureElectrochemistryManganeseElectrolyteElectrodeSupercapacitorChemical engineeringChevron (anatomy)Scanning electron microscopeComposite materialAnalytical Chemistry (journal)MetallurgyChemistry

Abstract

fetched live from OpenAlex

Initial characterization of the electrochemical performance of obliquely deposited manganese films with a chevron microstructure, for potential application as electrochemical capacitor materials, has demonstrated that Mn deposited in porous metallic form with subsequent electrochemical oxidation provides a route to forming pseudocapacitive Mn-based materials. The oxidation step and capacitance measurements were performed in sequence using the same electrolyte (0.1 M and electrode setup. Chevron-structured films of manganese were characterized by field emission scanning electron microscopy, cyclic voltammetry, Brunauer-Emmett-Teller method adsorption, and by mass and thickness measurement. Faradaic capacitance behavior with a moderate specific capacitance as high as 256 F/g was observed in combination with relatively low measured surface areas on the order of © 2002 The Electrochemical Society. All rights reserved.

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 score0.002
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 head0.006
GPT teacher head0.193
Teacher spread0.188 · 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

Citations72
Published2002
Admission routes2
Has abstractyes

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