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Record W2166628417 · doi:10.1108/13565361011061920

Pressure indicating film characterization of pressure distribution in eutectic Au/Sn wafer‐to‐wafer bonding

2010· article· en· W2166628417 on OpenAlexaff
D. F. Spicer, Kevin Lai, K. Kornelsen, A. Brennan, Nickolai Belov, M. Wang, T.-K. Chou, J. Heck, T. Zhu, S. Akhlaghi

Bibliographic record

VenueMicroelectronics International · 2010
Typearticle
Languageen
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsMicralyne
Fundersnot available
KeywordsWaferMaterials scienceEutectic systemSolderingSubstrate (aquarium)Composite materialSeal (emblem)Characterization (materials science)OptoelectronicsNanotechnologyMicrostructure

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to characterize pressure non‐uniformity in a wafer‐to‐wafer bond chamber using pressure sensitive paper. Design/methodology/approach Pressure non‐uniformity in a wafer‐to‐wafer bond chamber is characterized using pressure sensitive paper. The effect of poor pressure uniformity is discussed, and the non‐uniformity corrected for use in a eutectic Au/Sn based wafer‐to‐wafer bond. Findings Several types of under solder metallization were also investigated, with Nb/Au seed metal providing the best overall result with good solder compression, liquid proof seal and minimal solder spill‐out. Solder compression versus pressure applied was studied to achieve an excellent gap control (2‐3 μm) between the bonded substrates. Originality/value This paper shows that characterization of applied pressure measured directly at the substrate is an important aspect in the development of high yielding bond processes.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.805

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 integrity0.0000.001
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 head0.004
GPT teacher head0.215
Teacher spread0.211 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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