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Record W1996355267 · doi:10.1021/jp014585a

A <sup>129</sup>Xe NMR Study of Functionalized Ordered Mesoporous Silica

2002· article· en· W1996355267 on OpenAlexaff
Igor Moudrakovski, Victor V. Terskikh, Christopher I. Ratcliffe, John A. Ripmeester, Li‐Qiong Wang, Yongsoon Shin, Gregory J. Exarhos

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2002
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsSteacie Institute for Molecular Sciences
Fundersnot available
KeywordsXenonMesoporous materialNanoporousAdsorptionPorosityMaterials scienceIsotopes of xenonMesoporous silicaChemical shiftPorous mediumAnalytical Chemistry (journal)ChemistryChemical engineeringChemical physicsPhysical chemistryNanotechnologyOrganic chemistryComposite materialCatalysis

Abstract

fetched live from OpenAlex

In this publication we report the first application of continuous flow hyperpolarized (HP) 129 Xe techniques to studies of pore structure in ordered mesoporous materials. In particular, we report extensive 129 Xe NMR chemical shift measurements of xenon adsorbed in mesoporous materials of different porosities and surface chemical composition. The use of HP Xe has allowed us to work at very low concentrations of xenon where the contribution of the Xe−Xe interactions is negligible and the observed 129 Xe chemical shift reflects mainly interactions between the xenon atoms and the surface. Variable temperature measurements gave access to information on the adsorption parameters of xenon, and allowed us to follow the changes in these properties due to modification of the mesopore voids. Our 129 Xe NMR data reveal a nonuniform porosity and irregular pore structure in contrast to N 2 adsorption and TEM measurements that indicate regular nanoporous channels.

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 score0.062
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.273
Teacher spread0.254 · 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

Citations70
Published2002
Admission routes1
Has abstractyes

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