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Record W4317481692 · doi:10.1002/chem.202203702

Large‐Area Uniaxially Oriented Sub‐5 nm Line Patterns of Hybrid Liquid Crystals Constructed by Perylene Diimide and Oligo(Dimethylsiloxane)

2023· article· en· W4317481692 on OpenAlexaff
Weilu Yang, Dong Liu, Yun Liu, Shichu Yang, Yadi Liu, Zhihao Shen, Huai Yang, Xinghe Fan

Bibliographic record

VenueChemistry - A European Journal · 2023
Typearticle
Languageen
FieldMaterials Science
TopicLiquid Crystal Research Advancements
Canadian institutionsMinistry of Education and Child Care
FundersNational Natural Science Foundation of China
KeywordsMaterials scienceDiimidePeryleneNanostructureColumnar phaseAnnealing (glass)Discotic liquid crystalThermotropic crystalLiquid crystalEtching (microfabrication)NanotechnologyMesophaseLayer (electronics)OptoelectronicsComposite materialLiquid crystallineMoleculeChemistry

Abstract

fetched live from OpenAlex

Abstract Construction of sub‐5 nm long‐range ordered structures through self‐assembly has received increasing attention. Herein, a series of ODMS‐based thermotropic liquid crystals (LCs) containing perylene diimide (PDI) were designed and synthesized. These LCs can form ordered nanostructures with periodic sizes around 5 nm including smectic J (SmJ), oblique columnar (Col ob ), and hexagonal columnar (Col h ) phases with change in the volume fraction of ODMS, where the layer spacing of the SmJ phase is less than 5 nm. Thin films with parallel oriented nanolines with line width less than 5 nm can be obtained on PDMS‐modified silicon substrates by spin‐casting and simple thermal annealing processes. Moreover, owing to the strong π‐π interaction between PDI cores, these nanolines are long‐range ordered with uniaxial orientation in relatively large areas (1.5×1.5 μm 2 ) with over 300 continuous microdomains without pre‐patterning. These nanostructures provide the possibility of preparing nanotemplates by oxygen plasma etching.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.001
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 head0.016
GPT teacher head0.257
Teacher spread0.242 · 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.

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

Citations8
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueChemistry - A European JournalSame topicLiquid Crystal Research AdvancementsFrench-language works237,207