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Record W4306408252 · doi:10.1134/s1023193522100111

On the Thermodynamics of Hydrogen Adsorption at Pt Electrodes

2022· article· en· W4306408252 on OpenAlexaffabout
V. A. Safonov, Jacek Lipkowski

Bibliographic record

VenueRussian Journal of Electrochemistry · 2022
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHydroniumAdsorptionElectrolyteChemistryHydrogenGibbs free energyElectrodePlatinumGibbs isothermStandard hydrogen electrodeElectrochemistryElectrode potentialIonInorganic chemistryReversible hydrogen electrodeThermodynamicsPhysical chemistryReference electrodeCatalysis

Abstract

fetched live from OpenAlex

In the mid 1960th–early 1970th, A. Frumkin and O. Petrii investigated the adsorption of hydrogen at a platinized platinum electrode surface performing measurement of a change in the hydronium ion concentration when the large surface area electrode was immersed into an electrolyte solution at the fixed potentials in the hydrogen adsorption region under equilibrium conditions. The depletion (or increase) of the hydronium ions in the electrolyte bulk corresponded to the amount of hydrogen ions adsorbed at the electrode surface. They derived an equation relating the amounts of adsorbed hydrogen (atoms and ions) to the change of surface energy. A several decades later Guelph–Alicante team employed the Gibbs–Duhem equation to determine the amount of hydrogen atoms adsorbed at a small Pt single crystal electrode from the measurement of the total charge at the Pt surface. This paper compares the thermodynamic basis of the two types of measurements and demonstrates that despite differences between the nature of the two experiments their thermodynamic foundations are equivalent.

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 categoriesInsufficient payload (model declined to judge)
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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.195
Teacher spread0.190 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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