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Record W2065545289 · doi:10.1021/ie801338u

A Novel Approach for the Synthesis of Zeolite Y

2009· article· en· W2065545289 on OpenAlexaff
Davood Karami, Sohrab Rohani

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2009
Typearticle
Languageen
FieldChemistry
TopicZeolite Catalysis and Synthesis
Canadian institutionsWestern University
Fundersnot available
KeywordsZeoliteCrystallinityHomogeneousMaterials scienceChemical engineeringSilica gelSpecific surface areaMineralogyChemistryCatalysisOrganic chemistryComposite materialMathematics

Abstract

fetched live from OpenAlex

In this study, a novel approach for the synthesis of zeolite Y is described. The effect of varying the starting silica source on the purity of zeolite Y was investigated, while all other reaction parameters were kept constant. The purity of zeolite was expressed in terms of percent crystallinity obtained from the powder XRD. The silica sources were all powders of varying types (except for silica sol). To study the influence of the varying silica sources on the purity of the resulting zeolite Y, the best gel composition and synthesis condition for one batch were chosen. The gel composition was 4Na 2 O:1Al 2 O 3:6SiO 2:200H 2 O. The aging temperature and duration of aging were chosen as room temperature and 120 h, respectively. The synthesis temperature and synthesis time were 100 °C and 48 h. The experiments were all conducted in sealed 30 mL Teflon bottles. The extent to which the pure zeolite Y was formed depended on the BET specific surface area of the silica sources (ranging from 150 to 300 m 2 /g) but not on the synthesis conditions. This novel method for zeolite Y preparation allows one to eliminate the vigorous agitation step required for the preparation of a homogeneous silica solution, thereby simplifying the synthesis of zeolite Y in one single vessel.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.113
Threshold uncertainty score0.713

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 science0.0010.000
Research integrity0.0000.001
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 head0.120
GPT teacher head0.319
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 teacher head, 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

Citations33
Published2009
Admission routes1
Has abstractyes

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