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Record W2805388149

A Short Review on Fabrication Methods of Micro-Cantilever for Ionic Electroactive Polymer Sensors/Actuators

2018· review· en· W2805388149 on OpenAlexaff
Mohammad Hossein Ghajar, Mehdi Mousavi, Salamat Burzhuev, Mehrdad Irannejad, Mustafa Yavuz, Eihab Abdel‐Rahman

Bibliographic record

VenueInternational journal of nanoscience and nanotechnology · 2018
Typereview
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceElectroactive polymersFabricationCantileverPolymerActuatorNanotechnologyConductive polymerMicroelectromechanical systemsComposite materialElectrical engineeringEngineering
DOInot available

Abstract

fetched live from OpenAlex

Micro-electroactive polymers have wide applications from industry to healthcare. Artificial muscles, microvalves, microswitches, haptic sensing, blood pressure and pulse monitoring are some potential applications for micro-electroactive polymers. The most advantage of micro-electroactive polymers as sensors and actuators is bio-compatibility and low power threshold for large deformations. In this short review, some applicable fabrication methods of micro-electroactive polymer cantilever are reviewed. Furthermore, a novel method based on standard micro fabrication techniques is designed and discussed in details which presents a conceptual design of a micro-electroactive polymer cantilever on a polymeric anchor located on a silicon substrate for future works.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.892
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.060
GPT teacher head0.427
Teacher spread0.367 · 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 designOther design
Domainnot available
GenreReview

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
Published2018
Admission routes1
Has abstractyes

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