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Record W2058027300 · doi:10.1149/1.3501035

3D Hybrid Integration Technology for Opto-Electronic Hetero-Integrated Systems

2010· article· en· W2058027300 on OpenAlexaff
Kangwook Lee, Takafumi Fukushima, Tetsu Tanaka, Mitsuma Koyanagi

Bibliographic record

VenueECS Transactions · 2010
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsPhotonicsMaterials scienceInterposerOptoelectronicsPhotodiodeCMOSMicroelectromechanical systemsPhotonic integrated circuitSilicon photonicsWaveguideChipIntegrated circuitElectronicsElectrical engineeringEtching (microfabrication)NanotechnologyEngineering

Abstract

fetched live from OpenAlex

We developed a 3D hybrid integration technology of complementary metal oxide semiconductor (CMOS), micro electro mechanical systems (MEMS) and photonic circuits for opto-electronic hetero-integrated systems. The 3D opto-electronic multi-chip module comprising CMOS, MEMS, and photonic devices was fabricated by using 3D hybrid integration technology. The electrical chips of amplitude shift keying (ASK) LSI, LC filter and pressure-sensing MEMS were mounted on the electrical Si interposer with Cu through silicon vias (TSVs). The photonic chips of vertical-cavity surface-emitting laser (VCSEL) and photodiode (PD) were embedded into the optical Si interposer with an optical waveguide. The electrical and the optical interposers were precisely bonded together to form 3D opto-electronic multi-chip module. The photonics and electrical devices are communicated via Cu TSVs. The photonic devices were connected via an optical waveguide. Basic functions of CMOS, MEMS and photonic devices in the 3D opto-electronic multi-chip module were successfully evaluated.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.641
Threshold uncertainty score0.502

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 head0.006
GPT teacher head0.208
Teacher spread0.202 · 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.

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

Citations3
Published2010
Admission routes1
Has abstractyes

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