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Record W1996554445 · doi:10.1021/cm034146j

Helical Discotic Liquid Crystals

2003· article· en· W1996554445 on OpenAlexaff
S. Holger Eichhorn, Thomas J. Katz

Bibliographic record

VenueChemistry of Materials · 2003
Typearticle
Languageen
FieldMaterials Science
TopicLiquid Crystal Research Advancements
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSide chainDiffractionCrystallographyMaterials scienceEtherChirality (physics)ChemistryOpticsPolymerOrganic chemistryPhysicsComposite material

Abstract

fetched live from OpenAlex

The structural properties of ten helicenebisquinones that have side chains differing in number and structure are analyzed by means of polarized light microscopy, differential thermal analysis, and X-ray diffraction. All the derivatives whose side chains are bonded to the helical cores by ether linkages assemble into hexagonally arrayed columns, even when the number of side chains is only two, but not all form true liquid crystalline phases. Those that have three unsymmetrically disposed side chains do, and when these side chains are dodecyloxymethoxy groups, the clearing temperatures are as low as 107 °C, which is 125 °C lower than that of the only previously studied nonracemic helicenebisquinone. Differences in side chain chirality affect the melting characteristics moderately, but they affect the packing arrangements, as analyzed by X-ray diffraction, insignificantly. A set of models is proposed to account for the differences in the materials' properties.

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 score0.001
Threshold uncertainty score0.003

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 head0.020
GPT teacher head0.292
Teacher spread0.272 · 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

Citations56
Published2003
Admission routes1
Has abstractyes

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