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Record W2298091904 · doi:10.1149/ma2014-02/34/1741

Materials Issues in Hermetic Wafer Level Packaging Using Au Thermocompression and Au-Sn Transient Liquid Phase Bonding

2014· article· en· W2298091904 on OpenAlexaff
Dany Chagnon, Dilek Işık, Pierre L. Lévesque, François Lewis, Marie-Ève Caza, Xuan Tuan Le, Jean-Sébastien Poirier, Damien Michel, Ronan Larger, Oussama Moutanabbir

Bibliographic record

VenueECS Meeting Abstracts · 2014
Typearticle
Languageen
FieldEngineering
Topic3D IC and TSV technologies
Canadian institutionsDalsa CorporationUniversité de MontréalPolytechnique Montréal
Fundersnot available
KeywordsMaterials scienceWafer bondingWaferTinThermocompression bondingAnodic bondingWafer-level packagingContext (archaeology)NanotechnologyDiffusion bondingOptoelectronicsLayer (electronics)Mechanical engineeringComposite materialMetallurgyEngineering

Abstract

fetched live from OpenAlex

The three-dimensional integration of circuits is becoming increasingly important in current and future electronics, optoelectronics, and photonics often requires a high vacuum level to properly function. To achieve this level of vacuum without using pumping systems, the chips need to be packaged hermetically. This can represent more than 70% of the fabrication cost when devices are packaged individually. In this context, wafer-level packaging (WLP) has emerged a powerful paradigm to make the process of integration cost-effective. Herein, we present recent advances in gold assisted bonding techniques to achieve a hermetic and strong bonding for large scale applications. More specifically, we will discuss design and materials issues required to enable optimized gold thermocompression (Au TC) and gold-tin transient liquid phase (AuSn TLP) bonding of 6 and 8-inch wafers. Moreover, we will also present in situ and ex situ investigations of the basic mechanisms governing these bonding processes. A deep understanding of these fundamental aspects is vital to achieve a better control of WLP technologies. Au TC bonding is obtained through two different approaches: (1) Standard flat surfaces; and (2) patterned micro-scale seal rings with grooves etched in silicon. The bonding conditions are chosen to minimize the processing steps and cost, while obtaining a strong hermetically sealed cavity. The first tests are made on deep reaction-ion etched pillars bonded to blanket wafers. Both wafers are completely coated with Ti/TiN/Au (10/100/500 nm) deposited by sputtering, acting as an adhesion layer, a diffusion barrier, and the bonding interlayer, as shown in Figure 1(a). Although the bonding withstands post manipulations, under certain conditions, cracks may develop throughout the wafers, as presented in the scanning acoustic microscopy (SAM) image of Figure 1(b). Bonding using flat seal rings is also achieved and studied using SAM, scanning electron microscopy (SEM), and shear tests to evaluate the quality of the interface. AuSn TLP bonding is achieved using a near eutectic electrodeposited AuSn layer pressed between two pure sputtered gold layers. Different thicknesses are chosen to obtain a uniform Au 5 Sn final phase. These layers have to be thick enough for the interdiffusion step to be long enough to obtain a uniform interface, while being as thin as possible to reduce the material cost in the integration process. The optimization of these two bonding processes requires the fundamental understanding of the thermal stability of the stacks considered. Indeed, our observations show that the formation of cracks at the interface of Au TC bonded wafers is strongly related to the thermal stability of the diffusion barrier. In order to further elucidate this phenomenon, we have undertaken prior to the wafer bonding detailed and extensive in situ and ex situ studies of the behavior of the wafers and layer stacks during thermal annealing using photo-emission electron microscopy (PEEM, Figure 1(c)-(d)), low energy electron microscopy (LEEM), SEM, atomic force microscopy (AFM) and transmission electron microscopy (TEM). The effect of pinholes in the TiN diffusion barrier on the composition and morphology of the Au layer is also studied The alloy phase formation and the intermixing rate of Au and AuSn are studied through thermal annealing combined with ex situ SEM and TEM, along with in situ PEEM. The knowledge developed during these studies allowed an optimization of the layer thicknesses and the bonding recipe.

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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)0.001
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 score0.015
Threshold uncertainty score0.879

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.032
GPT teacher head0.276
Teacher spread0.244 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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