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Record W4220931089 · doi:10.1139/cjc-2021-0132

Synthesis and characterization of mesoporous-HZSM-5 as a catalyst for ethanol dehydration to ethylene

2022· article· en· W4220931089 on OpenAlexvenueno aff
Kesheng Cao, Yibo Wu, Guoqiang Song, Qingbin Li, Wei Ma, Pengtao Sheng, Gang Tian, Yunli Cao, Yun-Xiao Feng, Xinghe Gao, Mengxin Liu, Qin-Long Peng

Bibliographic record

VenueCanadian Journal of Chemistry · 2022
Typearticle
Languageen
FieldChemistry
TopicZeolite Catalysis and Synthesis
Canadian institutionsnot available
Fundersnot available
KeywordsDehydrationMesoporous materialChemistryThermogravimetric analysisCatalysisEthyleneFourier transform infrared spectroscopyEthanolDesorptionDehydration reactionChemical engineeringInfrared spectroscopyScanning electron microscopeEthylene glycolThermal desorption spectroscopyNuclear chemistryOrganic chemistryAdsorptionMaterials science

Abstract

fetched live from OpenAlex

In this work, mesoporous HZSM-5 (M-HZSM-5) was synthesized with γ-(2,3-epoxypropoxy) propyltrimethoxysilane as pore-expanding agent through one-pot method and was studied for its catalytic activity and stability in ethanol dehydration. The resultant samples were characterized by various techniques, including Brunauer-Emmett-Teller, Scanning electron microscopy, Fourier transform infrared spectroscopy, the temperature-programmed desorption of NH 3 , and Thermogravimetric. Based on the analysis of the results, M-HZSM-5 with the typical MFI structure displays a specific surface area of 450 m 2 g −1 . Furthermore, the improvement of the activity and anti-coking ability of the catalyst for ethanol dehydration to ethylene is attributed to the existence of mesopores in HZSM-5, which can provide the reaction space and acid sites.

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 categoriesInsufficient payload (model declined to judge)
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 score0.011
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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 head0.009
GPT teacher head0.209
Teacher spread0.199 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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