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Record W2090063349 · doi:10.1088/1751-8113/46/5/055001

Pulling polymers adsorbed on a striped surface

2013· article· en· W2090063349 on OpenAlexafffund
G K Iliev, Enzo Orlandini, S G Whittington

Bibliographic record

VenueJournal of Physics A Mathematical and Theoretical · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsUniversity of TorontoYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPolymerAdsorptionPolymer scienceMaterials scienceSurface (topology)NanotechnologyChemical engineeringChemistryComposite materialEngineeringOrganic chemistryGeometry

Abstract

fetched live from OpenAlex

We consider the adsorption of a linear homopolymer on a striped surface where the monomers have different energies of interaction with each of the two kinds of stripe. In addition, the polymer is subject to a force that tends to desorb the polymer, and the force can be applied at different angles. We consider both a partially directed walk model and a self-avoiding walk model. We solve the problem for the partially directed walk problem essentially completely and give phase diagrams (in the force-temperature plane) for various values of the direction in which the force is applied. The phase diagrams show re-entrance phenomena and, for some force directions, degenerate ground states. We also present a low temperature treatment that helps to interpret the results from the combinatorial solution. For the self-avoiding walk model we present Monte Carlo results and show that the phase diagrams for the partially directed walk and self-avoiding walk are qualitatively similar and, at low temperatures, are in quantitative agreement.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.999

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.246
Teacher spread0.240 · 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 designTheoretical or conceptual
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

Citations9
Published2013
Admission routes2
Has abstractyes

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