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Record W4283273701 · doi:10.1021/acs.jpcc.2c02496

NMR Crystallography of Monovalent Cations in Inorganic Matrices: Na<sup>+</sup> Siting and the Local Structure of Na<sup>+</sup> Sites in Ferrierites

2022· article· en· W4283273701 on OpenAlexaff
Petr Klein, Jiřı́ Dědeček, Haunani M. Thomas, Sarah R. Whittleton, Jiří Klimeš, Jiřı́ Brus, Libor Kobera, David L. Bryce, Štěpán Sklenák

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2022
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsUniversity of Ottawa
FundersAkademie Věd České RepublikyGrantová Agentura České Republiky
KeywordsCationic polymerizationChemistryMicroporous materialFerrieriteAluminosilicateCrystallographyNuclear magnetic resonance spectroscopyRing (chemistry)Ion exchangeSpectroscopyZeoliteCatalysisSorptionInorganic chemistryIonPhysical chemistryStereochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Zeolites are crystalline microporous aluminosilicates of paramount importance. The siting of cations balancing the negative charge of framework Al affects the catalytic and sorption properties of cation-exchanged zeolites. The siting of Na + cations in dehydrated Si-rich ferrierite zeolites is investigated by 23 Na (ultra)-high-field (MQ)MAS NMR spectroscopy together with DFT to obtain the Na + siting and the local structure of nine Na + cationic sites formed by two 6-rings and two 8-rings having one Al atom located in different framework T sites. The occupation of the Na + cationic sites is not controlled by their relative energies but by the kinetics of the Na + ion-exchange. 23 Na solid-state NMR spectroscopy alone can determine the ring forming the Na + site but not which T site is occupied by Al in that ring. The developed methodology represents a highly promising tool for the analysis of the Na + arrangements in zeolites and other crystalline matrices.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.007
GPT teacher head0.243
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2022
Admission routes1
Has abstractyes

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