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Effects of the Iron Content and Redox State on the Structure of Sodium Borosilicate Glasses: A <scp>R</scp> aman, <scp>M</scp> össbauer and Boron K‐Edge <scp>XANES</scp> Spectroscopy Study

2012· article· en· W1992232688 on OpenAlexafffund
B. Cochain, Daniel R. Neuville, Grant S. Henderson, Catherine McCammon, O. Pinet, Pascal Richet

Bibliographic record

VenueJournal of the American Ceramic Society · 2012
Typearticle
Languageen
FieldMaterials Science
TopicGlass properties and applications
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Light Source
KeywordsXANESBorosilicate glassMössbauer spectroscopyBoronRedoxOxidation stateOctahedronChemistryCrystallographyOxidizing agentInorganic chemistrySodiumSpectroscopyAlkali metalAnalytical Chemistry (journal)MetalCrystal structure

Abstract

fetched live from OpenAlex

The structure of iron‐bearing sodium borosilicate glasses with up to 10 mol% “ FeO ” has been investigated in the range 0.15 < Fe 3+ /Σ Fe < 0.95. According to M össbauer spectroscopy, Fe 3+ and Fe 2+ are mainly in tetrahedral and octahedral coordination, respectively, although other coordination states exist for both cations. From XANES experiments, we conclude that increasing Fe content and varying redox states have only a minor effect on the relative proportions of BO 3 and BO 4 units. In R aman spectra, a decrease of the proportion of BO 4 species present in danburite‐like units ( Na 2 O · B 2 O 3 ·2 SiO 2 ) is found upon increasing iron content and oxidizing state. Whereas the insensitivity of the overall boron speciation to iron content and redox state points to weak interactions between boron and iron, the changes affecting BO 4 species do indicate a more subtle interplay between Fe 3+ and the other tetrahedrally coordinated cations ( Si , B ) because of the competition between tetrahedral Fe 3+ and B 3+ for charge compensation by Na + .

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 score0.003
Threshold uncertainty score0.005

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)0.0010.000

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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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

Citations110
Published2012
Admission routes2
Has abstractyes

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