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Record W2752098492

Impedance Spectroscopy Characterization of Electrodeposited Ni-15Mo Catalyst Designed for the HER in Acid Solution: Modified Porous Model

2006· article· en· W2752098492 on OpenAlexvenueno aff
Lidija Valek, Mirjana Metikoš‐Huković, Z. Grubač

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2006
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsDielectric spectroscopyScanning electron microscopeMaterials scienceCatalysisPorosityCrystalliteElectrodeCyclic voltammetryPolarization (electrochemistry)Analytical Chemistry (journal)Transmission electron microscopyElectrical impedanceElectrochemistryChemical engineeringChemistryComposite materialNanotechnologyChromatographyMetallurgyPhysical chemistry
DOInot available

Abstract

fetched live from OpenAlex

Electrocatalytic properties of the Ni-15Mo catalyst electrodeposited on carbon substrate, designed for the hydrogen evolution reaction (HER) in an acid media, were investigated using polarization and electrochemical impedance spectroscopy (EIS) measurements. The composition and atomic ratio of the Ni-Mo electrodeposit were determined by quantitative energy dispersive X-ray spectrometry (EDAX). The presence of a very porous structure composed of micron and submicron sized particles, has been demonstrated by scanning electron microscopy (SEM). Kinetic parameters determined from the dc and ac results show excellent electrocatalytic activity of the porous Ni-15Mo catalyst in comparison with polycrystalline Ni. The effects influencing the frequency dispersions of the porous electrode at low frequencies were discussed on the basis of impedance measurements. The equivalent circuit analog to this situation is the finite – length transmission line terminated in a resistance. The penetration depth ( ) of an ac signal to pore length (lp) ratio as well as the penetrability coefficient ( ) were determined.

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 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 score0.213
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

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 communication0.0000.000
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 head0.012
GPT teacher head0.242
Teacher spread0.230 · 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

Citations10
Published2006
Admission routes1
Has abstractyes

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