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Record W4392853405 · doi:10.1137/22m1538545

Core Shells and Double Bubbles in a Weighted Nonlocal Isoperimetric Problem

2024· article· en· W4392853405 on OpenAlexafffund
Stan Alama, Lia Bronsard, Xinyang Lu, Chong Wang

Bibliographic record

VenueSIAM Journal on Mathematical Analysis · 2024
Typearticle
Languageen
FieldEngineering
TopicNumerical methods in engineering
Canadian institutionsLakehead UniversityMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIsoperimetric inequalityMathematicsCore (optical fiber)Mathematical analysisGeometryPhysics

Abstract

fetched live from OpenAlex

Abstract. We consider a sharp-interface model of [Formula: see text] triblock copolymers, for which the surface tension [Formula: see text] across the interface separating phase [Formula: see text] from phase [Formula: see text] may depend on the components. We study global minimizers of the associated ternary local isoperimetric problem in [Formula: see text], and show how the geometry of minimizers changes with the surface tensions [Formula: see text], varying from symmetric double-bubbles for equal surface tensions, through asymmetric double bubbles, to core shells as the values of [Formula: see text] become more disparate. Then we consider the effect of nonlocal interactions in a droplet scaling regime, in which vanishingly small particles of two phases are distributed in a sea of the third phase. We are particularly interested in a degenerate case of [Formula: see text] in which minimizers exhibit core shell geometry, as this phase configuration is expected on physical grounds in nonlocal ternary systems.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.302
Teacher spread0.270 · 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 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

Citations2
Published2024
Admission routes2
Has abstractyes

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