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Record W2083615953 · doi:10.1021/la001010g

A Second Harmonic Generation Study of a Physisorbed Precursor to the Electrodeposition of a Monolayer of Alkanethiols

2001· article· en· W2083615953 on OpenAlexaff
Martin Byloos, S. Rifai, H. Al-Maznai, Marie Laferrière, M. Morin

Bibliographic record

VenueLangmuir · 2001
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMonolayerChemistryChemisorptionProtonationAdsorptionElectrolytePhotochemistryHydrogenSecond-harmonic generationPhysisorptionInduction periodInorganic chemistryAnalytical Chemistry (journal)ElectrodePhysical chemistryCatalysisOrganic chemistryIon

Abstract

fetched live from OpenAlex

Physisorbed thiolates are found to be precursors in the oxidative chemisorption of hexadecanethiolates. In alkaline electrolyte solution, the physisorbed species undergo a slow, nonelectrochemical, reaction that shifts their oxidative adsorption to more positive potentials. This reaction, which makes the formation of a self-assembled monolayer more difficult, was monitored using second harmonic generation (SHG) spectroscopy. The SHG signal is found to be constant for the first 3 min that the thiolates are physisorbed. After this induction period, there is a slow decrease of the SHG signal that lasts 15 min. The magnitude of the SHG decrease is a function of the applied potential. A larger decrease is observed when the potential is close to the hydrogen evolution region. These results suggest that the reaction is a protonation of the physisorbed thiolates via a reaction with adsorbed hydrogen atoms. We also compare the electrodeposition of alkanethiolates with the adsorption of alkanethiols in absence of an applied electric field.

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 score0.019
Threshold uncertainty score0.185

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 head0.010
GPT teacher head0.217
Teacher spread0.206 · 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

Citations7
Published2001
Admission routes1
Has abstractyes

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