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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 OpenAlex
Stan Alama, Lia Bronsard, Xinyang Lu, Chong Wang

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.
fundA Canadian funder is recorded on the work.

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

.We consider a sharp-interface model of \(ABC\) triblock copolymers, for which the surface tension \(\sigma_{ij}\) across the interface separating phase \(i\) from phase \(j\) may depend on the components. We study global minimizers of the associated ternary local isoperimetric problem in \({\mathbb{R}}^2\), and show how the geometry of minimizers changes with the surface tensions \(\sigma_{ij}\), varying from symmetric double-bubbles for equal surface tensions, through asymmetric double bubbles, to core shells as the values of \(\sigma_{ij}\) 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 \(\sigma_{ij}\) in which minimizers exhibit core shell geometry, as this phase configuration is expected on physical grounds in nonlocal ternary systems.Keywordsnonlocal isoperimetric problemgamma convergencedouble-bubblescore-shellMSC codes49S99

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 categoriesnone
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 score0.670
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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