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Record W1490552045 · doi:10.1109/mwsym.2015.7167092

Low-cost mm-wave coplanar waveguide bandpass filter using inkjet printing of silver nano-particles on flexible plastic substrate

2015· article· en· W1490552045 on OpenAlexaff
Khelifa Hettak, Tyler Ross, R. James, Adrian Momciu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNanomaterials and Printing Technologies
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsMaterials scienceCoplanar waveguideInkwellBand-pass filterOptoelectronicsSubstrate (aquarium)Extremely high frequencyPolyethylene terephthalateMicrowaveConductive inkElectronic engineeringOpticsNanotechnologyComputer scienceComposite materialSheet resistanceTelecommunicationsLayer (electronics)

Abstract

fetched live from OpenAlex

This paper demonstrates the feasibility of realizing millimeter wave coplanar waveguide (CPW) bandpass filters through ink-jetting of conductive inks on commercially available plastic sheets such as Polyethylene Terephthalate (PET) (plastic as an RF substrate). A silver nanoparticle colloidal solution was used as the printing ink. The millimeter wave third order CPW bandpass filter, which consists of a cascade of alternating quarter wavelength CPW open end series stubs and quarter wavelength CPW connecting lines, was simulated with Agilent Momentum and printed with a DMP-2800 Series inkjet printing system. The principle of achieving such high-quality circuits is detailed and is also confirmed by theoretical and experimental results, which are in reasonable agreement up to at least 70 GHz. Finally, this work is one step further towards the development of low-cost ink-jet printing of passive microwave and millimeter-wave components for commercial wireless applications.

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 score0.031
Threshold uncertainty score0.757

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 head0.065
GPT teacher head0.247
Teacher spread0.182 · 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

Citations8
Published2015
Admission routes1
Has abstractyes

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