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Record W2782598198 · doi:10.14447/jnmes.v17i2.432

A Kinetic Study of The Hydrogen Evolution Reaction in Phosphoric Acid Solutions with Iron and Manganese Phosphatized Steel Cathodes

2014· article· en· W2782598198 on OpenAlexvenueno aff
Gabriela Alvarado Macías, J.C. Fuentes-Aceituno, Armando Salinas‐Rodríguez

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2014
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsnot available
Fundersnot available
KeywordsTafel equationPhosphoric acidManganeseCharge transfer coefficientInorganic chemistryAqueous solutionNitric acidHydrogenCatalysisScanning electron microscopeChemistryMaterials scienceElectrochemistryElectrodeMetallurgyCyclic voltammetryPhysical chemistryComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

In this investigation a kinetic study of the HER was carried out employing a steel rotating disk with different aqueous solutions containing Phosphoric Acid (H3PO4) with or without metallic manganese (Mn) and Nitric Acid (HNO3). Furthermore, the HER was evaluated on iron and manganese phosphate coatings. Analyses of Tafel plots and the charge transfer coefficients, revealed one electrical potential zone where the monoatomic hydrogen can be recombined electrochemically to H2 as the rate determining step, with charge transfer coefficients similar to an activationless process (α→0). On the other hand, an increase in the concentration of H3PO4 promotes a higherexchange current for the HER. The Mn in the aqueous solutions has a catalytic effect on the hydrogen generation rate at room temperature. However, the precipitation of Mn3(PO4)2 on steel decreases the HER kinetics at high temperatures. These observations are also supported with SEM (Scanning Electron Microscopy) characterizations.

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 score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.214
Teacher spread0.205 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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