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Record W2366499698

Synthesis of Titania-Pillared Layered Niobic Acid with a High Specific Surface Area by using Sol-I ntercalation Method

2003· article· en· W2366499698 on OpenAlexaff
Guo Xian

Bibliographic record

VenueWuji huaxue xuebao · 2003
Typearticle
Languageen
FieldMaterials Science
TopicPolyoxometalates: Synthesis and Applications
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsCalcinationMesoporous materialMaterials scienceTitanateBET theoryThermal stabilitySpecific surface areaPorosityIntercalation (chemistry)Chemical engineeringMineralogyTitaniumThermal treatmentSol-gelAdsorptionCatalysisInorganic chemistryNanotechnologyComposite materialChemistryCeramicPhysical chemistryOrganic chemistryMetallurgy
DOInot available

Abstract

fetched live from OpenAlex

Hydrated titanium sol particles-in tercalated layered niobate was prep ared through the reaction between n-decylamine-intercalated niobate and hydrated product of tetrabutyl t itanate.The titania-pillared layered niobic acid then obtained by calcining the t itanium sol particles-intercalate d niobate at 450℃in air.The resultin g material has been characterized by means of XRD,IR,BET surface area and pore size d istribution measurement techniques.The pillared sample was porous(mainly mesopores),with a high BET surface area of 131.3m 2 ·g -1 and an in-terlayer distance of 1.26nm at 450℃.Test of thermal stability revealed t hat the structure of the titania-pillared layered niobic acid was stable after this material calcined at 550℃for 2h in air.

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 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 score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.027
GPT teacher head0.254
Teacher spread0.227 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

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