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Record W2027444639 · doi:10.2495/d&ne-v3-n1-28-38

Nonlinear actuator model for flexoelectric membranes

2008· article· en· W2027444639 on OpenAlexaffvenue
Alejandro D. Rey

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsMcGill University
Fundersnot available
KeywordsDissipationMechanicsActuatorNonlinear systemViscoelasticityMembranePhysicsElastic energyClassical mechanicsEngineeringChemistryThermodynamicsElectrical engineering

Abstract

fetched live from OpenAlex

Synthetic and biological fl exoelectric membranes are actuators that bend under the action of external electric fi elds, a phenomenon of interest to the development of emerging adaptive materials as well as biological mechano-transduction. This paper presents an actuator model of fl exoelectric membranes based on a Helmholtz free energy that incorporates tension, bending, and torsion as well as polarization and dielectric energies. The electro-elastic components of the membrane tension, moment tensor and tensor are derived and used to construct an actuator model that includes dissipation due to viscous fl uids in contact with the membrane. The actuator model is expressed by a balance between the externally imposed electric forces, the viscous dissipation of the contacting fl uid phases, and the elastic storage of the membrane. The nonlinearity is shown to originate in the viscous dissipation. The model is analyzed for externally imposed oscillating electric fi elds. The Deborah number De given by the ratio of driving frequency and the resonant frequency is shown to control the viscoelastic response. The key fi ndings are: (i) for De 1 the response is purely elastic and the electric energy is stored in the elastic deformations of the membrane; (ii) at larger De, the response is anharmonic and viscoelastic; (iii) due to the nature of the viscous nonlinearity only even harmonics are generated in the response; and (iv) secondary resonant frequencies appear at lower driving frequencies. These fi nding contribute towards the emerging understanding of fl exoeletricity in biological membranes, pioneered by Petrov and co-workers (Petrov, A.G.,

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.731
Threshold uncertainty score0.357

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.243
Teacher spread0.230 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations5
Published2008
Admission routes2
Has abstractyes

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