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Polymer Dynamic Field Theory on Graphics Processing Units

2010· article· en· W1979278155 on OpenAlexaff
I Wright, Robert A. Wickham

Bibliographic record

VenueJournal of Physics Conference Series · 2010
Typearticle
Languageen
FieldMaterials Science
TopicBlock Copolymer Self-Assembly
Canadian institutionsUniversity of GuelphPerimeter Institute
Fundersnot available
KeywordsGraphicsNucleationComputer scienceCode (set theory)Computational scienceField (mathematics)Computer graphicsParallel computingPolymerCopolymerMaterials scienceComputer graphics (images)ChemistryProgramming languageComposite material

Abstract

fetched live from OpenAlex

This paper explores the application of graphics processing units (GPUs) to a study of the dynamics of diblock copolymer (DBCP) melts. DBCP melts exhibit ordered mesophases with potential applications in nanotechnology, but are often found out of equilibrium. The length scales involved have previously rendered the numerical modelling of these materials intractable in certain regimes. We adapt a code originally written in parallel using the Message Passing Interface to GPUs using the NVIDIA® CUDATM architecture. We gain a factor of 30 performance improvement over the original code at large system size. We then use this performance improvement to study DBCP melts in two computationally time-intensive regimes: droplet nucleation close to phase coexistence, and dynamics under confinement in a small cylindrical nanopore.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.678

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 communication0.0000.001
Open science0.0010.000
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 head0.014
GPT teacher head0.253
Teacher spread0.239 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations4
Published2010
Admission routes1
Has abstractyes

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