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X‐Ray Diffraction and Micro‐Raman Study of Structural Transformations in (B <sub>2</sub> O <sub>3</sub> ) <sub>1−x</sub> (H <sub>2</sub> O) <i> <sub>x</sub> </i> Glasses and Liquids

2010· article· en· W1908306394 on OpenAlexaff
Ralf Brüning, J. Galbraith, Katherine E. Braedley, Jonathan Johnstone, Jacques Robichaud, Subramanian Balaji, Yahia Djaoued

Bibliographic record

VenueJournal of the American Ceramic Society · 2010
Typearticle
Languageen
FieldMaterials Science
TopicGlass properties and applications
Canadian institutionsUniversité de MonctonDalhousie UniversityMount Allison University
Fundersnot available
KeywordsRaman spectroscopyDiffractionCrystallographyX-ray crystallographyQuenching (fluorescence)LiquidusMaterials scienceAnalytical Chemistry (journal)Covalent bondMolecular geometryChemistryPhase (matter)MoleculeOpticsPhysicsFluorescence

Abstract

fetched live from OpenAlex

Liquid water and vitreous B 2 O 3 are the endpoints of a continuous range of random networks in which hydrogen bonds gradually replace covalent bonds. Previous work has shown that glasses can be obtained by quenching in the range x ≤0.50. We report the wide‐angle X‐ray scattering by the liquid phase in the composition range from x =0.38 to 1.00 (pure water) at temperatures just above the liquidus. The first sharp diffraction peak (FSDP) remains at an approximately constant position in the range 0≤ x ≤0.8. Beyond this range, the position of the FSDP shifts linearly to higher angles. The relative concentration of the molecular species in the glasses and melts were measured with micro‐Raman spectroscopy. Small molecular species are found for glasses and liquids with x >0.36, determining the critical point at which the sample ceases to be a single macromolecule. Molecular water is present in liquids with x >0.62.

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 score0.004

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 head0.007
GPT teacher head0.230
Teacher spread0.223 · 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

Citations4
Published2010
Admission routes1
Has abstractyes

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Same venueJournal of the American Ceramic SocietySame topicGlass properties and applicationsFrench-language works237,207