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Record W2083144291 · doi:10.1039/c4cp05449k

Crystal-plane-dependent metal–support interaction in Au/TiO<sub>2</sub>

2015· article· en· W2083144291 on OpenAlexaff
Lichen Liu, Chengyan Ge, Weixin Zou, Xianrui Gu, Fei Gao, Lin Dong

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2015
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsMinistry of Education and Child Care
FundersNational Natural Science Foundation of China
KeywordsMetalCrystallographyMaterials scienceCrystal (programming language)Plane (geometry)Chemical physicsChemistryCondensed matter physicsPhysicsGeometryMetallurgyComputer scienceMathematics

Abstract

fetched live from OpenAlex

Metal-support interactions between Au and TiO2 are studied based on Au/TiO2 catalysts with different TiO2 crystal planes exposed. With ex situ XPS, TEM and in situ DRIFTS, we have investigated the crystal-plane-dependent metal-support interaction effects on the physiochemical properties of Au/TiO2 catalysts. Based on the structural characterization and spectroscopic results, we can observe chemical oscillations (including the electronic structures of Au nanoparticles and the interaction between Au/TiO2 catalysts and CO molecules) during alternate H2 and O2 pre-treatments. Their variation tendencies of oscillations are greatly dependent on the crystal planes of TiO2 and the pre-treatment temperature. Furthermore, their surface and electronic changes after H2 and O2 pre-treatments can be well correlated with their catalytic activities in CO oxidation. Electron-transfer processes across the Au-TiO2 interface are proved to be the origin accounting for their changes after H2 and O2 pre-treatments. The different electronic structures of different TiO2 crystal planes should have relationships with the crystal-plane-dependent metal-support interaction effects in Au/TiO2.

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 categoriesMeta-epidemiology (narrow)
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 score0.013
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.022
GPT teacher head0.270
Teacher spread0.248 · 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.

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

Citations23
Published2015
Admission routes1
Has abstractyes

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