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Record W2025428565 · doi:10.1021/cm000571q

Self-Assembly of a Liquid Crystalline Anisotropic Gel

2000· article· en· W2025428565 on OpenAlexaff
Li Guan, Yue Zhao

Bibliographic record

VenueChemistry of Materials · 2000
Typearticle
Languageen
FieldMaterials Science
TopicSupramolecular Self-Assembly in Materials
Canadian institutionsUniversité LavalUniversité de Sherbrooke
Fundersnot available
KeywordsLiquid crystalMaterials scienceAzobenzenePhase (matter)Phase transitionChemical engineeringSelf-assemblyMoleculeCrystallographyAnisotropyChemical physicsNanotechnologyComposite materialOrganic chemistryOpticsChemistryPolymerOptoelectronics

Abstract

fetched live from OpenAlex

A new azobenzene-containing gelator for low-molar-mass liquid crystals (LCs) was synthesized. It can effectively gel nematic LCs such as E7 through the formation of a hydrogen-bonded network. Moreover, an intriguing self-assembly process was observed. When thin films of the E7/gelator mixture, cast on CaF 2 crystal windows or glass slides, are cooled from the isotropic phase, at temperatures below but close to the sol−gel phase transition, aggregation of the gelator starts from the edge of the film, and the fiberlike aggregates grow predominantly normal to the edge, leading to the formation of an oriented network at the macroscopic scale in the liquid gel state. On further cooling through the phase transition from liquid gel to nematic gel, the aligned fiberlike aggregates induce a long-range molecular orientation of E7, in the direction perpendicular to the fibers. The end result of this is a self-assembled anisotropic LC gel formed in the absence of any external effects such as surface treatment for the substrates or irradiation for the azobenzene groups on the gelator molecules.

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 head0.008
GPT teacher head0.231
Teacher spread0.224 · 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

Citations37
Published2000
Admission routes1
Has abstractyes

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