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Record W4321163357 · doi:10.1002/smll.202207198

Microwave‐Assisted Rapid Substitution of Ti for Zr to Produce Bimetallic (Zr/Ti)UiO‐66‐NH<sub>2</sub> with Congenetic “Shell–Core” Structure for Enhancing Photocatalytic Removal of Nitric Oxide

2023· article· en· W4321163357 on OpenAlexaff
Jiayou Liu, Xiaoxiang Huang, Liuhu Jia, Linfeng Liu, Qianqian Nie, Zhongchao Tan, Hesheng Yu

Bibliographic record

VenueSmall · 2023
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversity of Waterloo
FundersNational Natural Science Foundation of China
KeywordsPhotocatalysisMaterials scienceBimetallic stripAdsorptionOxideMetalPhotodegradationAnhydrousChemical engineeringInorganic chemistryCatalysisOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

Abstract Efficient nitric oxide (NO) removal without nitrogen dioxide (NO 2 ) emission is desired for the control of air pollution. Herein, a series of (Zr/Ti)UiO‐66‐NH 2 with congenetic shell–core structure, denoted as Ti‐UION, are rapidly synthesized by microwave‐assisted post‐synthetic modification for NO removal. The optimal Ti‐UION (i.e., 2.5Ti‐UION) exhibits the highest activity of 80.74% without NO 2 emission with moisture, which is 21.65% greater than that of the UiO‐66‐NH 2 . The NO removal efficiency of 2.5Ti‐UION further increases to 95.92% without photocatalyst deactivation under an anhydrous condition. This is because selectively produced NO 2 in photocatalysis is completely adsorbed into micropores, refreshing active sites for subsequent reaction. In addition, the enhanced photocatalytic activity after Ti substitution is due to the presence of Ti electron acceptor, the potential difference between the shell and core of Ti‐UION crystal, and the high conductivity of TiO units. Additionally, the improved adsorption of gas molecules not only favors NO oxidation, but also avoids the emission of NO 2 . This work provides a feasible strategy for rapid metal substitution in metal‐organic frameworks and insights into enhanced NO photodegradation.

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 score0.023
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
Bibliometrics0.0010.002
Science and technology studies0.0000.000
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 head0.028
GPT teacher head0.261
Teacher spread0.233 · 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

Citations28
Published2023
Admission routes1
Has abstractyes

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