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Record W4368363432 · doi:10.4071/001c.74749

Glass Substrate for Co-Packaged Optics

2023· article· en· W4368363432 on OpenAlexaff
Lars Brusberg, Aramais R. Zakharian, Jason R. Grenier, Barry Paddock, Daniel W. Levesque, Cliff G. Sutton, Robin M. Force, Lucas W. Yeary, Robert A. Bellman, Chad C. Terwilliger, Betsy J. Johnson

Bibliographic record

VenueIMAPSource Proceedings · 2023
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsResearch & Development Corporation
Fundersnot available
KeywordsMaterials scienceOptoelectronicsPhotonicsSubstrate (aquarium)Silicon nitrideOpticsPhotonic integrated circuitSilicon

Abstract

fetched live from OpenAlex

Co-packaged optics leads to significant power reduction by placing the electronic and photonic chiplets in a single package. An integrated electro-optical substrate made of glass with optical waveguides, through vias and electrical redistribution layers inside a single-sided cavity enables fine-line electrical routing and low-cost assembly. Existing glass and thin film technologies were evaluated and combined into a single process stream including photonic assembly. Photonic chips with silicon nitride waveguides were optically coupled to integrated low-loss (<0.1 dB/cm) glass waveguides with minimum loss of 0.65 dB achieved by fiducial alignment and pick-and-place assembly.

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: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.008

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 head0.254
Teacher spread0.232 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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Same venueIMAPSource ProceedingsSame topicSemiconductor Lasers and Optical DevicesFrench-language works237,207