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Record W3020868043 · doi:10.1109/lpt.2020.2991118

Demonstration of Inter-Chip RF Data Transmission Using On-Chip Antennas in Silicon Photonics

2020· article· en· W3020868043 on OpenAlexafffund
Bahaa Radi, Ajaypal Singh Dhillon, Odile Liboiron-Ladouceur

Bibliographic record

VenueIEEE Photonics Technology Letters · 2020
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsMcGill University
FundersCanada Research ChairsCMC Microsystems
KeywordsPhotonicsChipAntenna (radio)TransmitterPhotodiodeSilicon photonicsTransmission (telecommunications)Data transmissionElectronic engineeringComputer scienceOptoelectronicsElectrical engineeringMaterials scienceEngineeringTelecommunications

Abstract

fetched live from OpenAlex

This letter describes the design and the measurements of a 15 GHz monopole antenna implemented in silicon photonics for inter-chip communication. The antenna is designed in HFSS with its radiation pattern simulated. To confirm its operation and experimentally demonstrate inter-chip communication, the antenna is fabricated in a commercial Silicon Photonics fabrication process. Measurements include s-parameter using a vector network analyzer, and inter-chip data transmission between two on-chip antennas. The inter-chip data transmission is demonstrated using an off-chip photodetector directly as a transmitter as a proof-of-concept. Results indicate the feasibility of a monolithically integrated photodiode-antenna system as a transmitter.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.255
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

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

Citations15
Published2020
Admission routes2
Has abstractyes

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