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Record W2035110998 · doi:10.1021/cm060430+

Synthesis of Ordered Intermetallic PtBi<sub>2</sub> Nanoparticles for Methanol-Tolerant Catalyst in Oxygen Electroreduction

2006· article· en· W2035110998 on OpenAlexaff
Dingguo Xia, Ge Chen, Zhenyao Wang, Jiujun Zhang, Shiqiang Hui, Dave Ghosh, Haijiang Wang

Bibliographic record

VenueChemistry of Materials · 2006
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsBC Innovation CouncilNational Research Council Canada
Fundersnot available
KeywordsCatalysisSelected area diffractionIntermetallicMaterials sciencePolyvinylpyrrolidoneMethanolCyclic voltammetryNanoparticleReducing agentChemical engineeringTransmission electron microscopyElectrocatalystInorganic chemistryNanotechnologyChemistryElectrochemistryPhysical chemistryMetallurgyOrganic chemistryPolymer chemistryElectrode

Abstract

fetched live from OpenAlex

Ordered intermetallic phase PtBi 2 nanoparticles with an average particle size of 4.1 ± 1.7 nm were synthesized at ambient conditions in an aqueous solution by co-reducing H 2 PtCl 6 and Bi(NO 3 ) 3 with NaBH 4 in the presence of polyvinylpyrrolidone (PVP) as a capping agent. The produced PtBi 2 nanoparticle catalyst, which has some distinguishable properties from Pt or Pt-based disordered catalysts, displays a strong electrocatalytic activity toward oxygen reduction with a methanol-tolerant property. The methods, such as powder X-ray diffraction (XRD), transmission electron micrograph (TEM), selected area electron diffraction (SAED), energy-dispersed X-ray spectroscopy (EDS), and cyclic voltammetry, were employed for catalyst structure and activity characterization.

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 score0.001
Threshold uncertainty score0.969

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 head0.007
GPT teacher head0.205
Teacher spread0.199 · 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

Citations45
Published2006
Admission routes1
Has abstractyes

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