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Record W2083984162 · doi:10.1002/mats.200900055

Behavior of Nematic Bipolar Droplets in PDLC Films: An Optimization Study

2010· article· en· W2083984162 on OpenAlexaff
Vajiheh Akbarzadeh, Ali Lohi, Philip K. Chan, Simant R. Upreti

Bibliographic record

VenueMacromolecular Theory and Simulations · 2010
Typearticle
Languageen
FieldMaterials Science
TopicLiquid Crystal Research Advancements
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsLiquid crystalMaterials scienceAspect ratio (aeronautics)Symmetry (geometry)Constant (computer programming)Field (mathematics)Relaxation (psychology)Condensed matter physicsOpticsPhysicsComposite materialOptoelectronicsGeometryMathematicsComputer science

Abstract

fetched live from OpenAlex

Abstract The effect of nematic droplet shape, elastic constant ratio of liquid crystals, and external field strength on the performance of PDLC films is examined. The finite‐difference method is used to model a single droplet with external field applied parallel to the droplet axis of symmetry. Genetic algorithm is employed to determine the optimal (i) aspect ratio, (ii) elastic constant ratio, and (iii) external field strength, which minimize the response and relaxation times for the droplet reorientation as well as the energy requirement. magnified image

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.012
GPT teacher head0.317
Teacher spread0.305 · 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 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

Citations2
Published2010
Admission routes1
Has abstractyes

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