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Record W2010804809 · doi:10.1088/0960-1317/23/4/047001

A low-cost rapid prototyping method for metal electrode fabrication using a CO<sub>2</sub>laser cutter

2013· article· en· W2010804809 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Micromechanics and Microengineering · 2013
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaCMC Microsystems
KeywordsElectrodeLaserRapid prototypingMaterials scienceFabricationOptoelectronicsMicrowaveLaser power scalingNanotechnologyOpticsComputer scienceComposite materialChemistry

Abstract

fetched live from OpenAlex

In this note, a novel approach on the use of a low-power CO2 laser cutter is proposed to pattern thin metal electrode prototypes. Although low-power CO2 laser cutters have been used to etch and cut a wide range of materials, based on our knowledge, metal electrode patterning has not been previously explored. Using the proposed approach, metal electrodes can be patterned on the substrates that are good absorbers of CO2 wavelength. Here, polymethylmethacrylate substrates are selected and metal electrode patterning using the commercial CO2 laser cutter of VLS 3.50 Versa Laser is investigated. This approach has a wide range of applications, and two of those examples for microwave heating and antenna applications are presented.

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.

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 score0.261
Threshold uncertainty score0.942

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 head0.010
GPT teacher head0.230
Teacher spread0.220 · 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