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Record W2517304238 · doi:10.1149/ma2016-02/29/1915

Processing Hundreds of Nanometres Thick Electrografted P4VP for High Aspect Ratio TSV Insulation

2016· article· en· W2517304238 on OpenAlexaffabout
T Dequivre, Michael Bérubé, Gessie Brisard, Serge A. Charlebois

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
Topic3D IC and TSV technologies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMaterials scienceMonomerElectrochemistryDielectricPolymerizationPolymerSiliconAqueous solutionChemical engineeringPolymer chemistryElectrodeComposite materialOrganic chemistryOptoelectronicsChemistry

Abstract

fetched live from OpenAlex

In 3D integration of microsystems, electrical insulation of High Aspect Ratio Through Silicon Via (HAR TSV) is a major challenge. This insulation is traditionally realized through the deposition of a thin SiO 2 layer. Electrografted poly-4-vinylpyridine (P4VP) has been demonstrated to be considered as an alternative to SiO 2 dielectric, traditionally used, for HAR TSVs insulation 1 . Electrografted P4VP has comparable electrical performances than SiO 2 based dielectric and is capable to smoothly cover the scalloped side walls of the TSV with better coverage uniformity than most dielectrics considered for Via-Middle or Via-Last processes 2 . Electrografting methods are electro-initiated processes. The commercial electrografting solution contains organic reactants in an aqueous acidic media: 4-nitrobezen diazonium (NBD) and monomers of 4 vinylpyridine (4VP). The electrografting mechanism of P4VP onto Si in aqueous media through reduction of diazonium salts is complex. However, a mechanism based on electrochemical initiation followed by a purely chemical polymerization has been proposed. In a first electro-initiated step, aryl radicals must be generated by the electrochemical reduction of NBD on the Si electrode. This can be achieved using different technics such as electrochemical reduction. The generated aryl radicals can covalently bond to the silicon surface through an electron transfer or can initiate radical polymerization of 4VP monomers into P4VP. Most of the published work about electrografting on silicon substrate is realized on oxide free Si-H functionalized surface. Such experimental condition do not usually permit an electrografted polymer to grow up to hundreds of nanometres, which is not suitable to meet electrical requirement for TSV insulation. Experimentally, reverse potential pulse conditions applied on p-type Si-OH functionalized sample allow the electrografting process of P4VP to grow faster and the grafted layer to be thicker. This phenomenon is enhanced if the process is realized under illumination (with the proper wavelength source with the respects of the silicon band gap). One of the hypotheses to explain this increase of kinetic and thickness could be the rapid inversion of the surface charge during the reverse pulse: the polymer structure would stay open by the creation of channels in the film, through desorption of physisorbed species, allowing the reactive species to diffuse more easily from the electrografting solution to the silicon surface. This phenomenon could facilitate the generation of aryl radicals for the 4VP polymerization process to be maintained. And thus, for the P4VP electrografting technic to be a versatile method for HAR TSV electrical insulation. We will present and discuss the electrografting experimental conditions and the impact of the surface preparation on the P4VP to understand their role on the kinetic and the thickness of the grafted P4VP. Acknowledgement Université de Sherbrooke, Natural Sciences and Engeeniring Research Council of Canada (NSERC), Institut National de la Recherche Scientifique (INRS), Teledyne Dalsa and aveni are gratefully acknowledged for their help and their financial support. References 1. T. Dequivre, E. Al Alam, J. Plathier, A. Ruediger, G. Brisard, and S. Charlebois, ECS Trans. , 69 , 91–97 (2015). 2. C. Truzzi, F. Raynal, and V. Mevellec, 2009 IEEE Int. Conf. 3D Syst. Integr. , 1–6 (2009).

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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)0.000
metaresearch head score (Gemma)0.001
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 score0.048
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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
Published2016
Admission routes2
Has abstractyes

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