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Record W4416879368 · doi:10.37665/weevrdu13701

Non-Contact Additive Processes for Contemporary Electronics Production

2020· article· W4416879368 on OpenAlexaff
Gustaf Mårtensson

Bibliographic record

VenueOn-Demand Webinars · 2020
Typearticle
Language
FieldEngineering
TopicNanomaterials and Printing Technologies
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsPresentation (obstetrics)ElectronicsProduction (economics)Jet (fluid)Emerging technologiesElectronic materials

Abstract

fetched live from OpenAlex

ABSTRACT Co-Hosted with: iNEMI This webinar will present the opportunities for non-contact additive processes for contemporary electronics production. The presentation will highlight specific aspects of the demands of the SMT industry with respect to application specifications, such as positioning and volume. A cursory description of traditional application methods will lead into a description of contemporary non-contact deposition strategies, including jet dispensing and jet printing. More exotic technologies will also be presented. About the Presenter Gustaf Mårtensson, Ph.D., works as a Complex Fluids Expert at Mycronic AB, where he focuses on non-contact deposition technologies and novel electronic materials. He is also an affiliated researcher at the School of Chemistry, Biotechnology and Health at the Royal Institute of Technology (KTH) in Stockholm, Sweden. At KTH he works with theoretical and experimental microfluidics, specifically on clinical point-of-care applications. Gustaf has an M.Sc. in engineering physics and a Ph.D. in the area of fluid dynamics, both from KTH. Files Available to Download: Slides and Link to Recorded Presentation (PDF)

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.354
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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 head0.022
GPT teacher head0.231
Teacher spread0.209 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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