MétaCan
Menu
Back to cohort
Record W2136248682 · doi:10.1002/cctc.201000320

Morphology and Crystal‐Plane Effects of Nanoscale Ceria on the Activity of CuO/CeO<sub>2</sub> for NO Reduction by CO

2011· article· en· W2136248682 on OpenAlexaff
Lianjun Liu, Zhijian Yao, Yu Deng, Fei Gao, Bin Liu, Lin Dong

Bibliographic record

VenueChemCatChem · 2011
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsMinistry of Education and Child Care
FundersNational Natural Science Foundation of China
KeywordsNanorodMaterials scienceNanostructureNanoscopic scaleMorphology (biology)RodOxideCrystal (programming language)Crystal structureSelectivityNanotechnologyCrystallographyPolyhedronCopperIonChemical engineeringCatalysisChemistryGeometryMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The present work elucidated the morphology and crystal‐plane effects of nanoscale ceria on the activity of CuO/CeO 2 catalysts toward NO reduction. CeO 2 Nanopolyhedra were enclosed by (111) and (100) planes; the nanorods predominantly exposed (110) and (100) surfaces, and the nanocubes only showed the polar (100) planes. Moreover, the strongest interaction was between CuO and CeO 2 rods, followed by CuO/CeO 2 polyhedra, and the CuO/CeO 2 cubes showed the least interaction. Importantly, Cu 2+ ions could be incorporated into the pore and surface lattices by occupying the vacant sites in the nanostructure CeO 2 rods. Partial copper oxide species were segregated on the surface of CeO 2 cubes with larger particle sizes. As a result, the site geometry and coordination environment of Cu 2+ ions were different on the (111), (110), and (100) surfaces of CeO 2 . This surface structure effect in turn led to a higher surface reducibility, activity and N 2 selectivity of CuO/CeO 2 nanorods for NO reduction at low temperatures (below 250 °C); the polyhedra and cubes were less active.

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 score0.002

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 integrity0.0000.000
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 head0.014
GPT teacher head0.231
Teacher spread0.217 · 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

Citations302
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueChemCatChemSame topicCatalytic Processes in Materials ScienceFrench-language works237,207