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Electrophoretic deposition of manganese dioxide films using new dispersing agents

2013· article· en· W2076110267 on OpenAlex
M.S. Ata, Guo‐zhen Zhu, Gianluigi A. Botton, Igor Zhitomirsky

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAdvances in Applied Ceramics Structural Functional and Bioceramics · 2013
Typearticle
Languageen
FieldEngineering
TopicElectrophoretic Deposition in Materials Science
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsElectrophoretic depositionMaterials scienceDispersantElectrochemistryManganeseAdsorptionDeposition (geology)Chemical engineeringInorganic chemistryDispersion (optics)Nuclear chemistryElectrodeNanotechnologyChemistryOrganic chemistryPhysical chemistryMetallurgyCoating

Abstract

fetched live from OpenAlex

Electrophoretic deposition (EPD) method has been developed for the fabrication of manganese dioxide (MD) films for application in electrochemical supercapacitors (ES). Anionic dyes were used as dispersing agents for MD synthesis and EPD. The adsorption of pyrogallol red (PGR) and aurintricarboxylic acid (ACA) dyes on MD was attributed to catecholate and salicylate type of bonding respectively involving chelation of Mn atoms on the MD particle surface. The adsorption of the dyes on MD allowed efficient dispersion, charging and deposition. The higher charge/mass ratio of ACA, compared to that of PGR, allowed deposition at lower dye concentration and lower voltages. The kinetics and mechanism of deposition were discussed. Electrochemical testing results showed that the MD films prepared by the EPD method are promising for application in ES. The highest specific capacitance of 409 F g−1 was obtained at a scan rate of 2 mV s−1.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.791

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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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