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Record W4394834021 · doi:10.1139/cjp-2023-0301

Dielectric and hydrogen bonding studies of butyronitrile with 1,4-dioxane using a time-domain reflectometry

2024· article· en· W4394834021 on OpenAlexvenueno aff
Daiwashala G. Dongre, Avadhut Ramrao Deshmukh, Nitin P. Garad, A.G. Gubre, Shankar H. Saknure, A.C. Kumbharkhane

Bibliographic record

VenueCanadian Journal of Physics · 2024
Typearticle
Languageen
FieldChemical Engineering
TopicThermodynamic properties of mixtures
Canadian institutionsnot available
Fundersnot available
KeywordsReflectometryDielectricPermittivityIntermolecular forceHydrogen bondDielectric spectroscopyTime domainRelative permittivityRelaxation (psychology)PhysicsSolventDielectric permittivityThermodynamicsAnalytical Chemistry (journal)MoleculeOrganic chemistryChemistryQuantum mechanicsElectrode

Abstract

fetched live from OpenAlex

Using time-domain reflectometry (TDR), the complex permittivity of binary mixture of butyronitrile (BTN) and 1,4-dioxane (1,4-DX) at various temperatures and solvent proportions was determined over the frequency range of 10 MHz to 30 GHz. The complex permittivity spectra (CPS) have been fitted to the Havrilik–Negami equation. The relaxation time (τ) and static dielectric constant (ε 0 ) have been calculated for each concentration using the least squares fit method. The nonlinear behavior of dielectric parameters suggests a change in the molecular size and intermolecular bonding of BTN–1,4-DX mixtures. Theoretical static dielectric constants (ε 0 ) have been determined using hydrogen bonded model suggested by Luzar for all solvent proportions and compared with experimental values obtained from TDR.

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 score0.190
Threshold uncertainty score0.417

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 head0.017
GPT teacher head0.244
Teacher spread0.227 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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