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Record W2167730362 · doi:10.1109/tcapt.2004.825749

Cooling Rate in Diode Laser Bonding

2004· article· en· W2167730362 on OpenAlexaff
Mark A. Fritz, Daniel T. Cassidy

Bibliographic record

VenueIEEE Transactions on Components and Packaging Technologies · 2004
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSolderingMaterials scienceDiodeLaserOptoelectronicsLaser diodeComposite materialDie (integrated circuit)Flip chipElectrical impedanceSemiconductor laser theoryElectronic packagingWire bondingThermalAnodic bondingChipMetallurgyOpticsSiliconNanotechnologyLayer (electronics)Electrical engineering

Abstract

fetched live from OpenAlex

Diode laser die bonding parameters were measured for the cases of slow cool and rapid cool die bonding processes. The thermal strain, solder composition and structure, thermal impedance, and bond strength of InP based diode lasers bonded to AlN chip carriers using pre-deposited Au-Sn solder were examined. Relative to the rapid cool process, the slow cool process was found on average: to induce greater strain in the laser chips; to exhibit a larger thermal impedance in the die bonds; to produce a rougher solder structure; and, to promote alloying of the solder material and chip carrier metallization.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.018
GPT teacher head0.220
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 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
Published2004
Admission routes1
Has abstractyes

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