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Ultrahigh-Field <sup>25</sup>Mg NMR and DFT Study of Magnesium Borate Minerals

2017· article· en· W2626985076 on OpenAlexafffund
Bing Zhou, Alexandra Faucher, Robert Laskowski, Victor V. Terskikh, Scott Kroeker, Wei Sun, Jinru Lin, Jin‐Xiao Mi, Vladimir K. Michaelis, Yuanming Pan

Bibliographic record

VenueACS Earth and Space Chemistry · 2017
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsUniversity of ManitobaUniversity of OttawaUniversity of SaskatchewanUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsMagnesiumDiamagnetismChemistryBoronDensity functional theoryCoupling constantQuadrupoleNuclear magnetic resonance spectroscopyElectric field gradientCASTEPAnalytical Chemistry (journal)Chemical shiftCrystallographyPhysical chemistryComputational chemistryStereochemistryPhysicsAtomic physicsMagnetic fieldOrganic chemistry

Abstract

fetched live from OpenAlex

A series of well-characterized magnesium borate minerals and synthetic analogues have been studied via ultrahigh-field 25 Mg solid-state NMR spectroscopy. Correlations between 25 Mg NMR parameters and the local structure at the magnesium site(s) are highlighted and discussed. First-principles density functional theory calculations of 25 Mg NMR parameters carried out with the WIEN2k software package support our experimental 25 Mg NMR data. Experimental 25 Mg C Q values range from 0.7 ± 0.1 MHz in hungchaoite to 18.0 ± 0.5 MHz in boracite-type Mg 3 B 7 O 13 Br. To our knowledge, the latter C Q value is the largest reported 25 Mg nuclear quadrupole coupling constant. In general, C Q values correlate positively with the degree of geometrical distortion at the Mg site, despite the diversity in nearest-neighbor ligands (O 2–, OH –, H 2 O, F –, Cl –, and Br – ) across the series of magnesium borates. Experimental δ iso values range from 0.2 ± 0.5 ppm in hungchaoite to 23 ± 3 ppm in grandidierite, which are within the expected chemical shift range for diamagnetic magnesium borates.

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 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 score0.016
Threshold uncertainty score0.781

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)0.0000.000

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 head0.012
GPT teacher head0.267
Teacher spread0.255 · 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

Citations12
Published2017
Admission routes2
Has abstractyes

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