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Record W2033957278 · doi:10.1103/physreve.72.056105

Lorentz-Lorenz coefficient, critical point constants, and coexistence curve of 1,1-difluoroethylene

2005· article· en· W2033957278 on OpenAlexaff
Nicola Fameli, David A. Balzarini

Bibliographic record

VenuePhysical Review E · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRefractive indexCritical point (mathematics)BinodalLorentz transformationLorentz forceCondensed matter physicsPhysicsThermodynamicsOpticsMagnetic fieldMathematicsMathematical analysisClassical mechanicsQuantum mechanics

Abstract

fetched live from OpenAlex

We report measurements of the Lorentz-Lorenz coefficient density dependence $\mathcal{L}(\ensuremath{\rho})$, the critical temperature ${T}_{\mathrm{C}}$, and the critical density ${\ensuremath{\rho}}_{\mathrm{C}}$ of the fluid 1,1-difluoroethylene $({\mathrm{H}}_{2}{\mathrm{C}}_{2}{\mathrm{F}}_{2})$. Lorentz-Lorenz coefficient data were obtained by measuring refractive index $n$, and density $\ensuremath{\rho}$ of the same fluid sample independently of one another. Accurate determination of the Lorentz-Lorenz coefficient is necessary for the transformation of refractive index data into density data from optics-based experiments on critical phenomena of fluid systems done with different apparatuses, with which independent measurement of $n$ and $\ensuremath{\rho}$ is not possible. Measurements were made along the coexistence curve of the fluid and span the density range 0.01 to $0.80\phantom{\rule{0.3em}{0ex}}\mathrm{g}\phantom{\rule{0.2em}{0ex}}{\mathrm{cm}}^{\ensuremath{-}3}$. The Lorentz-Lorenz coefficient results show a stronger density dependence along the coexistence curve than previously observed in other fluids, with a monotonic decrease from a density of about $0.2\phantom{\rule{0.3em}{0ex}}\mathrm{g}\phantom{\rule{0.2em}{0ex}}{\mathrm{cm}}^{\ensuremath{-}3}$ onward, and an overall variation of about 2.5% in the density range studied. No anomaly in the Lorentz-Lorenz function was observed near the critical density. The critical temperature is measured at ${T}_{C}=(302.964\ifmmode\pm\else\textpm\fi{}0.002)\phantom{\rule{0.3em}{0ex}}\mathrm{K}$ (29.814 \ifmmode^\circ\else\textdegree\fi{}C) and the measured critical density is ${\ensuremath{\rho}}_{\mathrm{C}}=(0.4195\ifmmode\pm\else\textpm\fi{}0.0018)\phantom{\rule{0.3em}{0ex}}\mathrm{g}\phantom{\rule{0.2em}{0ex}}{\mathrm{cm}}^{\ensuremath{-}3}$.

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)0.001
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.339
Teacher spread0.319 · 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

Citations7
Published2005
Admission routes1
Has abstractyes

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