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Record W4319222096 · doi:10.1016/j.nocx.2023.100161

Effect of modifier cation size on the structure, properties and nickel speciation in BK7 type alkali borosilicate glasses

2023· article· en· W4319222096 on OpenAlexfundno aff
Brian Topper, Lucas Greiner, Randall E. Youngman, Darren Stohr, E. I. Kamitsos, Doris Möncke

Bibliographic record

VenueJournal of Non-Crystalline Solids X · 2023
Typearticle
Languageen
FieldMaterials Science
TopicGlass properties and applications
Canadian institutionsnot available
FundersRoyal Ontario MuseumNational Science Foundation
KeywordsAlkali metalBorosilicate glassBoronRaman spectroscopyNickelSilicateBorate glassMaterials scienceInorganic chemistryAnalytical Chemistry (journal)SpectroscopyChemistry

Abstract

fetched live from OpenAlex

Alkali-borosilicate glasses 16M 2 O–10B 2 O 3 –74SiO 2 were studied for M = Li to Cs. 11 B NMR showed 57% four-fold coordinated boron for Li, but 88 to 97% for M = Na to Cs. The fraction of neutral borate triangles decreases from Na to Cs. Vibrational spectroscopy shows significant non-bridging oxygen on silicate species for Li, decreasing to a low level from Na to Cs. The glass transition temperature is highest for M = Cs and correlates with increasing network connectivity. Sub-liquidus phase separation and homonuclear bonding was observed for M = Li, while M = Na to Cs show good linking of silicate with borate tetrahedra. Raman spectroscopy reveals a maximum of danburite rings for M = K, the glass with the highest packing density. Glasses doped with Ni 2 O 3 changed color from yellow (Li) to purple (Na), to blue in samples of higher optical basicity (K, Rb, Cs). Tetrahedral Ni 2+ likely coexists with trivalent nickel, Ni 3+ , in blue glasses, while higher coordinated Ni 2+ prevails in the yellow Li-sample.

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)0.001
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 score0.046
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.025
GPT teacher head0.269
Teacher spread0.244 · 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

Citations14
Published2023
Admission routes1
Has abstractyes

Explore more

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