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Record W2318550388 · doi:10.1021/jp212197r

Fabrication of Te@Pd Core–Shell Hybrids for Efficient C–C Coupling Reactions

2012· article· en· W2318550388 on OpenAlexaff
Yuewu Zhao, Huile Jin, Huan Zhou, Juanjuan Lin, Shun Wang, Jichang Wang

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2012
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBromobenzeneCatalysisMicrostructureTransmission electron microscopyMaterials scienceGraphenePhenylboronic acidPalladiumOxideScanning electron microscopeHigh-resolution transmission electron microscopyChemical engineeringCrystallographyChemistryNanotechnologyMetallurgyComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Te@Pd core–shell hybrids were prepared in this study, in which a pine leaf-shaped microstructure was obtained through controlling the synthesis kinetics of single crystal Te. The as-prepared Te was subsequently utilized as the substrate for Pd coating. These core–shell particles were characterized with scanning and transmission electron microscopy, high resolution transmission electron microscopy, X-ray diffraction, and energy dispersive X-ray spectroscopy. When being applied as a catalyst in bromobenzene and phenylboronic acid reaction, 100% conversion of bromobenzene was achieved in less than 3 h, which was much shorter than that required by the reactions using graphene oxide supported Pd catalyst (4 h) or the commercial Pd/C catalyst (>6 h). The Te@Pd core–shell catalyst could be easily recovered from the reaction solution and be used repeatedly. The high catalytic activity of Te@Pd hybrids is attributed to their unique microstructure.

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 score0.003

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 integrity0.0010.001
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 head0.023
GPT teacher head0.294
Teacher spread0.270 · 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

Citations9
Published2012
Admission routes1
Has abstractyes

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Same venueThe Journal of Physical Chemistry CSame topicCatalytic Processes in Materials ScienceFrench-language works237,207