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Record W1974934126 · doi:10.1016/j.colcom.2014.06.003

Nanostructured free surfaces in plant-based plywoods driven by chiral capillarity

2014· article· en· W1974934126 on OpenAlexaff
Pardis Rofouie, Damiano Pasini, Alejandro D. Rey

Bibliographic record

VenueColloids and Interface Science Communications · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsMcGill University
Fundersnot available
KeywordsMaterials scienceSurface tensionChirality (physics)Surface (topology)Capillary actionPeriod (music)AnisotropyNano-OpticsStructural colorationScalingAmplitudeComposite materialNanotechnologyPhysicsGeometryOptoelectronicsChiral symmetryThermodynamicsMathematics

Abstract

fetched live from OpenAlex

Periodic nano-structured surfaces in Nature are responsible for functionalities such as iridescent colors observed in some flower petal surfaces that act as diffraction gratings. We present a theoretical scaling and computational analysis of the formation and structural characteristics of surface nano-wrinkling using the well-known cellulose chiral liquid crystals (LC) material model system that displays the twisted plywood architecture. Using a generalized LC shape equation here adapted to cholesteric free surfaces, we derive a model in terms of three capillary pressures whose solution is the ubiquitous periodic relief of plywood surfaces. The period and depth of the surface structure are shown to be dependent on the plywood's helical pitch. The ratio of amplitude to period of the surface undulation scales linearly with the anisotropic surface tension. These new findings can be used to characterize plant-based plywoods as well as to inspire the design of optical devices based on chirality-driven nano-wrinkling.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.247
Teacher spread0.237 · 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.

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

Citations21
Published2014
Admission routes1
Has abstractyes

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