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Co-packaged Optics Module with Single-Mode Polymer Waveguide

2025· article· W7126150539 on OpenAlexaff
A. Horibe, Y. Taira, Sayuri Kohara, Chinami Marushima, Hiroyuki Mori, H. Numata, J.B. Heroux, A. Paz Ramos, H. Hsu, N. Liu, Mark Schultz, John Knickerbocker

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsIBM (Canada)
Fundersnot available
KeywordsSubstrate (aquarium)WaveguideOptical fiberResilience (materials science)Reliability (semiconductor)Polymer

Abstract

fetched live from OpenAlex

We present co-packaged optics (CPO) modules featuring single-mode polymer waveguide (PWG) fiber interfaces to address the growing demand for high-bandwidth, energy-efficient interconnects in AI systems. Compared to conventional fiber connections, PWGs offer higher optical lane density and easier assembly. We evaluated two substrate configurations and conducted mechanical and thermo-mechanical reliability testing. Results showed stable adhesion, low insertion loss (<1.2–2.0 dB), and resilience under thermal stress. A 3-port CPO module with a cut-out substrate demonstrated the feasibility of optics-last assembly. These findings support PWG-integrated CPO modules as a promising solution for future heterogeneous chiplet-based AI hardware platforms.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.515
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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
Published2025
Admission routes1
Has abstractyes

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