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Record W2076252023 · doi:10.2109/jcersj2.117.277

Changes in the medium-range order during crystallization of aluminosilicate zeolites characterized by high-energy X-ray diffraction technique

2009· article· en· W2076252023 on OpenAlexaff
Toru Wakihara, Yasuhiro Suzuki, Wei Fan, S. Saito, Shinji Kohara, Gopinathan Sankar, Manuel Sánchez‐Sánchez, Masaru Ogura, Tatsuya Okubo

Bibliographic record

VenueJournal of the Ceramic Society of Japan · 2009
Typearticle
Languageen
FieldChemistry
TopicZeolite Catalysis and Synthesis
Canadian institutionsRoyal Ottawa Mental Health Centre
FundersJapan Society for the Promotion of Science
KeywordsFaujasiteAluminosilicateCrystallizationNucleationMaterials scienceZeoliteAmorphous solidDissolutionChemical engineeringCrystallographyCrystal (programming language)ChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

ZSM-5 and faujasite, which are aluminosilicate zeolites with different compositions, were synthesized without using organic structure-directing agents, and the changes in the medium-range order during the crystallization of ZSM-5 and faujasite were characterized by high-energy X-ray diffraction (HEXRD) technique. It is found that that the amorphous aluminosilicates have larger fraction of 4 membered ring (4R), compared to 6 membered ring (6R) that is the most dominant in amorphous silica. Furthermore, HEXRD measurements reveal that changes in the medium-range order are characteristic for each zeolite although crystallizations of both zeolites proceeded via a similar way: that is, the dissolution of amorphous precursors to solution followed by the nucleation and crystal growth of zeolite from the soluble species. In ZSM-5 crystallization, no major changes in the medium-range order are observed although slight decrease of the fraction of 4R is confirmed. On the other hand, clear changes in the medium-range order, especially on the ordering of 4R and 6R are confirmed in faujasite crystallization.

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)0.000
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 score0.101
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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

Citations21
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Ceramic Society of JapanSame topicZeolite Catalysis and SynthesisFrench-language works237,207