Nematiclike viscosity coefficients of ferroelectric liquid crystals in their smectic-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mi>C</mml:mi><mml:mo>*</mml:mo></mml:msup></mml:math>phase
Bibliographic record
Abstract
The five nematiclike viscosity coefficients corresponding to the Smectic-${C}^{*}$ $(\mathrm{Sm}{C}^{*})$ phase are calculated by a combination of the existing statistical-mechanical approach and NMR theory, based on a rotational diffusion model for two ferroelectric smectogens. The order parameter ${S}_{2}$, the smectic tilt angle $\ensuremath{\theta}$, and the rotational diffusion coefficient ${D}_{\ensuremath{\perp}}$, corresponding to molecular tumbling in the $\mathrm{Sm}{C}^{*}$ phase, for the ferroelectric smectogens 4-[${4}^{\ensuremath{'}}$-(1-methylheptyloxy)]${\text{biphenyl}}^{\ensuremath{'}}$-(10-undecenyloxy)benzoate and $(S)$-[4-(2-methylbutyl)phenyl]-${4}^{\ensuremath{'}}\text{\ensuremath{-}}n$-octylbiphenylcarboxylate have been obtained by means of $^{2}\mathrm{H}$ NMR spectroscopy and these data have been used to calculate viscosity quantities. For practical purposes a specific form of the functional dependence of ${S}_{4}$ on ${S}_{2}$ is used. As the main result, our calculations also predict a laminar flow regime in a high shear flow for these liquid crystal compounds.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".