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Record W2316793071 · doi:10.1021/cs200691a

Unique Electrochemical Catalytic Behavior of Pt Nanoparticles Deposited on TiO<sub>2</sub> Nanotubes

2012· article· en· W2316793071 on OpenAlex
Min Tian, Guosheng Wu, Aicheng Chen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACS Catalysis · 2012
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsLakehead University
Fundersnot available
KeywordsCatalysisNanoparticleMaterials scienceNanomaterialsElectrochemistryNanotubeChemical engineeringNanotechnologyElectrodeElectrocatalystAdsorptionMethanolOxideDesorptionInorganic chemistryCarbon nanotubeChemistryPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

In this study, we have directly deposited Pt nanoparticles on TiO 2 nanotubes (TiO 2 /Pt) using a facile photoassisted reduction method. The Pt nanoparticles deposited on the TiO 2 nanotube arrays possess a large electrochemically active surface area and exhibit remarkable kinetic behaviors. The peaks for the oxide formation and reduction progressively decrease and eventually disappear completely after 800 cycles, whereas the integrated charge for hydrogen adsorption and desorption reaches a constant, ∼70% of the initial value. In addition, an S-shaped cyclic voltammogram observed for the methanol oxidation at the electrochemically treated TiO 2 /Pt electrode was dramatically different from the results obtained at a bulk Pt electrode. The self-refreshment functionality and anatomy of the reconstructed TiO 2 -supported Pt nanoparticles described in this study provide a new approach for improving the catalytic activity of Pt nanomaterials in renewable energy applications.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.215
Teacher spread0.208 · 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