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Record W2964112452 · doi:10.1002/cctc.201901104

Direct Synthesis of Hierarchical FeCu‐ZSM‐5 Zeolite with Wide Temperature Window in Selective Catalytic Reduction of NO by NH<sub>3</sub>

2019· article· en· W2964112452 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

VenueChemCatChem · 2019
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversity of British Columbia
FundersNational Natural Science Foundation of China
KeywordsZeoliteCatalysisZSM-5Reduction (mathematics)Window (computing)Selective catalytic reductionSelective reductionMaterials scienceChemistryInorganic chemistryChemical engineeringOrganic chemistryComputer science

Abstract

fetched live from OpenAlex

Abstract In this article, we report a one‐pot synthesis strategy to directly synthesize the hierarchical FeCu‐ZSM‐5 zeolite. Its physicochemical properties were studied by various characterization techniques and catalytic performance was tested in selective catalytic reduction (SCR) of NO with NH 3 as reductant. The characterization results show that: compared with three reference zeolites Fe/ZSM‐5, Cu/ZSM‐5, and Fe/Cu/ZSM‐5 prepared through an incipient wetness impregnation method, the synthesized FeCu‐ZSM‐5 zeolite exhibits hierarchical micro‐mesoporous structures, more Fe 3+ in zeolite framework, and larger isolated Cu 2+ species. Therefore, when used as a catalyst in NH 3 ‐SCR, the resulting hierarchical FeCu‐ZSM‐5 catalyst shows better catalytic performance (high NO conversion and N 2 selectivity) in a wide temperature window and higher hydrothermal stability than the three reference catalysts. Our work provides a simple and facile route to prepare the promising NH 3 ‐SCR catalyst for practical applications in controlling NO x emissions.

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)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.003
GPT teacher head0.196
Teacher spread0.193 · 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