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Record W4214932153 · doi:10.1002/chem.202104490

Elaborated Reaction Pathway of Photothermal Catalytic CO<sub>2</sub> Conversion with H<sub>2</sub>O on Gallium Oxide‐Decorated and ‐Defective Surfaces

2022· article· en· W4214932153 on OpenAlexaff
Li Zhang, Zheng Li, Xu‐Han Zhang, Chenyu Xu, Yan‐Wei Zhang

Bibliographic record

VenueChemistry - A European Journal · 2022
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversity of Alberta
FundersNatural Science Foundation of Zhejiang ProvinceNational Natural Science Foundation of China
KeywordsCatalysisAdsorptionDeoxygenationChemistryOxideVacancy defectOxygenProtonationDesorptionGalliumAnataseHydroxylationPhotochemistryPhysical chemistryCrystallographyPhotocatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Ga2O3‐decorated and ‐defective surface models based on anatase TiO2 have been established. The thermodynamic reaction pathways, including protonation, deoxygenation and hydroxylation steps, during CO2 conversion with H2O to C1 products were calculated. The calculation results demonstrate that a Ga2O3 cocatalyst enhances the selective adsorption of CO2 and slightly weakens the competitive adsorption of H2O. The promotion effect of Ga2O3 on the subsequent reaction depends on the availability of protons and electrons. Free‐energy calculations revealed that the basic functional site generated by Ga2O3 not only suppresses the back reaction of the OH group after H2O directly provides protons but also maintains the surface defect oxygen vacancy (VO), which promotes the reaction thermodynamics but tends to be consumed in the process. Additionally, Ga2O3 decoration promotes VO formation, and the coexistence of Ga2O3 and VO further decreases the reaction rate‐determining step energy barrier, promoting C1 production.

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 score0.002
Threshold uncertainty score0.005

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)0.0010.000

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 head0.008
GPT teacher head0.206
Teacher spread0.198 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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Same venueChemistry - A European JournalSame topicAdvanced Photocatalysis TechniquesFrench-language works237,207