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Record W2552435377 · doi:10.3934/cpaa.2020010

Droplet phase in a nonlocal isoperimetric problem under confinement

2019· preprint· en· W2552435377 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCommunications on Pure &amp Applied Analysis · 2019
Typepreprint
Languageen
FieldComputer Science
TopicAdvanced Mathematical Modeling in Engineering
Canadian institutionsMcGill UniversityMcMaster University
Fundersnot available
KeywordsIsoperimetric inequalityVolume fractionPhysicsDrop (telecommunication)Limit (mathematics)Length scalePhase (matter)Condensed matter physicsMathematical physicsQuantum mechanicsMathematical analysisMathematicsThermodynamics

Abstract

fetched live from OpenAlex

<p style='text-indent:20px;'>We address small volume-fraction asymptotic properties of a nonlocal isoperimetric functional with a confinement term, derived as the sharp interface limit of a variational model for self-assembly of diblock copolymers under confinement by nanoparticle inclusion. We introduce a small parameter <inline-formula><tex-math id="M1">\begin{document}$ \eta $\end{document}</tex-math></inline-formula> to represent the size of the domains of the minority phase, and study the resulting droplet regime as <inline-formula><tex-math id="M2">\begin{document}$ \eta\to 0 $\end{document}</tex-math></inline-formula>. By considering confinement densities which are spatially variable and attain a unique nondegenerate maximum, we present a two-scale asymptotic analysis wherein a separation of length scales is captured due to competition between the nonlocal repulsive and confining attractive effects in the energy. A key role is played by a parameter <inline-formula><tex-math id="M3">\begin{document}$ M $\end{document}</tex-math></inline-formula> which gives the total volume of the droplets at order <inline-formula><tex-math id="M4">\begin{document}$ \eta^3 $\end{document}</tex-math></inline-formula> and its relation to existence and non-existence of Gamow's Liquid Drop model on <inline-formula><tex-math id="M5">\begin{document}$ \mathbb{R}^3 $\end{document}</tex-math></inline-formula>. For large values of <inline-formula><tex-math id="M6">\begin{document}$ M $\end{document}</tex-math></inline-formula>, the minority phase splits into several droplets at an intermediate scale <inline-formula><tex-math id="M7">\begin{document}$ \eta^{1/3} $\end{document}</tex-math></inline-formula>, while for small <inline-formula><tex-math id="M8">\begin{document}$ M $\end{document}</tex-math></inline-formula> minimizers form a single droplet converging to the maximum of the confinement density.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.591
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0050.004
Research integrity0.0000.001
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 head0.050
GPT teacher head0.334
Teacher spread0.284 · 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