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Record W4381550854 · doi:10.1002/elsa.202300002

Bipolar electrochemical deposition of HKUST‐1 on carbon and its loading with polypyrrole for supercapacitor electrodes

2023· article· en· W4381550854 on OpenAlexafffund
Nigel Patterson, Anna Ignaszak

Bibliographic record

VenueElectrochemical Science Advances · 2023
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of CanadaNew Brunswick Innovation FoundationCanada Foundation for Innovation
KeywordsPolypyrroleCyclic voltammetryMaterials scienceDielectric spectroscopyThermogravimetric analysisScanning electron microscopeFourier transform infrared spectroscopyDifferential pulse voltammetryChemical engineeringElectrochemistryElectrodeAnalytical Chemistry (journal)Inorganic chemistryPolymerizationChemistryComposite materialPolymerOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Using bipolar electrochemistry, carbon paper (CP) is asymmetrically coated with copper metal. Subsequent anodic electrodissolution in a solution containing trimesic acid linkers results in HKUST‐1 depositing on the carbon surface. The CP‐MOF (metal organic framework) composite is then soaked in a pyrrole/isopropanol solution for several hours before undergoing oxygen/Cu‐induced polymerization to fill the pores. Variations in the concentration and soaking time were investigated. X‐ray diffraction shows the successful synthesis of HKUST‐1 before and after pyrrole treatment. Scanning electron microscopy and optical microscopy suggest that the polymer is formed within HKUST‐1 rather than as a coating. Further characterization by Fourier transform infrared, X‐ray photoelectron spectroscopy, gas adsorption, and thermogravimetric analysis/differential thermal analysis were also carried out. Capacitance was found to increase with the concentration of pyrrole used to load HKUST‐1. Higher concentrations also lead to more leaching of copper. Differential pulse voltammetry (DPV), galvanostatic charge discharge, and electrochemical impedance spectroscopy electrochemically studied the redox peaks, capacitance retention, and resistivity of the electrodes.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.247
Teacher spread0.238 · 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.

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

Citations4
Published2023
Admission routes2
Has abstractyes

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