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Record W2900467199 · doi:10.1039/c8cc07963c

Compositional effect of two-dimensional monodisperse AuPd bimetallic nanoparticle arrays fabricated by block copolymer nanopatterning on catalytic activity of CO oxidation

2018· article· en· W2900467199 on OpenAlexaff
Sun Mi Kim, Jeong Ho Mun, Si Woo Lee, Hyesung An, Hyun You Kim, Sang Ouk Kim, Jeong Young Park

Bibliographic record

VenueChemical Communications · 2018
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsKootenay Association for Science & Technology
FundersNational Research Foundation of Korea
KeywordsBimetallic stripCopolymerDispersityNanoparticleCatalysisMaterials scienceChemical engineeringNanotechnologyBlock (permutation group theory)Composition (language)ChemistryPolymer chemistryOrganic chemistryPolymerComposite material

Abstract

fetched live from OpenAlex

We present a straightforward approach for fabricating AuPd nanocatalysts based on self-assembled block copolymer nanopatterning. CO oxidation was carried out on AuPd alloy nanoparticles and the activity increased with increasing Pd content; this synergistic activity can be precisely tuned by varying the chemical composition. Theoretical calculations suggest that Pd clusters are required to bind and dissociate O2 for oxidation of coadsorbed CO molecules. Our results suggest that the geometric configuration of the Pd atoms on the surface are a key factor in the catalytic activity.

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 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 score0.002
Threshold uncertainty score0.695

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.304
Teacher spread0.285 · 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

Citations11
Published2018
Admission routes1
Has abstractyes

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