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Record W2020161206 · doi:10.1109/mwsym.2014.6848306

A novel technique for rapid vapor detection using swelling polymer covered microstrip ring resonator

2014· article· en· W2020161206 on OpenAlexaff
Amirreza Sohrabi, Parmiss Mojir Shaibani, Mohammad H. Zarifi, Mojgan Daneshmand, Thomas Thundat

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Resonator Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMaterials scienceResonatorPolydimethylsiloxaneMicrostripPermittivityPlanarPolymerSwellingOptoelectronicsLayer (electronics)Composite materialDielectricElectronic engineeringComputer science

Abstract

fetched live from OpenAlex

A state of the art technique is presented to enable the use of a planar RF resonator in Volatile Organic Compound (VOC) vapors detection as a simple and low cost sensor platform. In the proposed solution, swelling polymer (polydimethylsiloxane; PDMS) film is deposited on top of a Microstrip ring resonator. At the exposure of the PDMS layer to various concentrations of VOCs such as ethanol and acetone, the PDMS layer adsorbs the vapors. This results in a change in the PDMS thickness and permittivity, which is then detected by a shift in the resonance frequency of the resonator. It is believed that the combination of swelling polymers and the Microstrip resonators can pave the way towards application of planar RF resonators for gas phase detection.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.225
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), 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

Citations36
Published2014
Admission routes1
Has abstractyes

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