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Record W2029177227 · doi:10.1021/ie061497+

Evaluation of the Main Diffusion Path in Novel Micro-Mesoporous Zeolitic Materials with the Zero Length Column Method

2007· article· en· W2029177227 on OpenAlexafffund
Amir Malekian, Hoang Vinh‐Thang, Qinglin Huang, Mladen Eić, Serge Kaliaguine

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2007
Typearticle
Languageen
FieldChemistry
TopicZeolite Catalysis and Synthesis
Canadian institutionsUniversité LavalUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMesoporous materialDiffusionMaterials scienceZero (linguistics)Path (computing)Column (typography)Chemical engineeringChemistryComputer scienceMathematicsThermodynamicsPhysicsGeometryOrganic chemistryEngineeringCatalysis

Abstract

fetched live from OpenAlex

The past several years have seen a dramatic increase in research interest regarding ordered and disordered mesoporous molecular sieves. UL-ZSM5s belong to the class of disordered mesoporous materials where zeolites are intergrown in mesoporous structures. They are considered to have a great potential for adsorption separation and catalysis. The primary objective of this study is to investigate the main diffusion path of these novel materials, using the zero length column (ZLC) technique with an appropriate theoretical analysis. Two UL-ZSM5 samples and their precursors were investigated, employing o -xylene as a probe molecule. In addition, ZSM-5 and ZSM-12 crystals with n -heptane/toluene as probe molecules were used as reference systems. The results revealed that the structure of UL-ZSM5 and its precursor behaved approximately as a three-dimensional (isotropic) diffusion system, while ZSM-5 and ZSM-12 crystals behaved as three- (isotropic) and one-dimensional (anisotrpic) diffusion systems, respectively. The results also showed that the diffusion path will not change with the variation of temperature or nature of sorbate molecules. From a practical point of view, this simple and relatively inexpensive method can be conveniently used as an additional tool for the characterization of porous materials.

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)0.014
metaresearch head score (Gemma)0.002
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 score0.012
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.089
GPT teacher head0.341
Teacher spread0.252 · 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

Citations11
Published2007
Admission routes2
Has abstractyes

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