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Record W3177147361 · doi:10.1002/admi.202100581

Engineering Dual Active Sites at the Interface between Nanoporous Pt and Nanosized CeO<sub>2</sub> to Enhance Photo‐Thermocatalytic CO Oxidation

2021· article· en· W3177147361 on OpenAlex

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

VenueAdvanced Materials Interfaces · 2021
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsMcGill University
FundersNational Natural Science Foundation of China
KeywordsNanoporousCatalysisMaterials scienceChemical engineeringOxygenDecompositionInorganic chemistryNanotechnologyChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Effective catalytic oxidation of toxic emissions at low temperatures has great significance on environmental protection. Herein, a novel structure of Pt/CeO 2 catalyst, composed of abundant CeO 2 clusters captured by nanoporous Pt particles, is designed to enhance the photo‐thermocatalytic CO oxidation by boosting the amount of active sites. The nanosized CeO 2 support is fabricated by vacuum thermal decomposition and then the Pt/CeO 2 catalyst with a nanoporous structure is synthesized by a one‐pot solution reduction method in a mild condition. The synthesized catalyst exhibits great low‐temperature CO catalytic oxidation activity, and the temperature for 90% CO conversion is 154 °C, achieving comparable catalytic activity with the single‐atom Pt/CeO 2 catalyst. Abundant dual active sites, in terms of active oxygen absorbed on the oxygen vacancies and spillover from ceria to Pt, and active Pt sites located near the perimeter of the Pt–CeO 2 interface, are formed to improve the photo‐thermocatalytic activity for CO oxidation.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.003
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.284
Teacher spread0.276 · 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