MétaCan
Menu
Back to cohort
Record W2075527630 · doi:10.1002/mats.200900044

Thermodynamic Model of Structure and Shape in Rigid Polymer‐Laden Membranes

2009· article· en· W2075527630 on OpenAlexaff
Yogesh K. Murugesan, Alejandro D. Rey

Bibliographic record

VenueMacromolecular Theory and Simulations · 2009
Typearticle
Languageen
FieldMaterials Science
TopicLiquid Crystal Research Advancements
Canadian institutionsMcGill University
Fundersnot available
KeywordsCurvatureMembranePolymerLiquid crystalMaterials scienceOrientation (vector space)AdsorptionThermodynamicsChemical physicsChemistryComposite materialGeometryPhysicsPhysical chemistryMathematics

Abstract

fetched live from OpenAlex

Abstract A mechanical formulation for multi‐component rigid‐rod‐like polymer‐laden membranes is integrated with the Gibbs‐Duhem equation to describe the role of temperature and adsorption on membrane shape and on the nematic liquid crystal order of the embedded polymer. The rigid‐rod polymer model incorporates curvo‐philic effects promoting polymer re‐orientation along curvature directions and curvo‐phobic effects promoting polymer re‐orientation away from curvature directions, while the membrane curvature energy is described with the Helfrich formulation. The couplings between thermodynamical variables, polymer liquid crystalline order, and membrane curvature are demonstrated and characterized. The theory provides a road‐map to manipulate shape and structure in membranes containing fibers, proteins, and rod‐like polymers. magnified image

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.276
Teacher spread0.266 · 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 designSimulation or modeling
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

Citations6
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueMacromolecular Theory and SimulationsSame topicLiquid Crystal Research AdvancementsFrench-language works237,207