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Record W2332051722 · doi:10.1149/1.2357070

Sequential Plasma Activated Process for Silicon Direct Bonding

2006· article· en· W2332051722 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueECS Transactions · 2006
Typearticle
Languageen
FieldEngineering
Topic3D IC and TSV technologies
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsPlasma activationSilicon oxideSiliconMaterials scienceAnodic bondingUltimate tensile strengthComposite materialSurface roughnessAnnealing (glass)High-resolution transmission electron microscopyChemistryWaferPlasmaChemical engineeringNanotechnologyTransmission electron microscopyMetallurgySilicon nitride

Abstract

fetched live from OpenAlex

Sequential plasma activated bonding (SPAB) process consisting of oxygen reactive ion etching (RIE) and nitrogen microwave radical plasma was developed for silicon direct bonding at room temperature. A strong influence of plasma time and gas pressure on voids was found both in the SPAB and O2 RIE processes. Tensile strength and surface roughness are functions of oxygen RIE, nitrogen radical time and gas pressure. Improved tensile strength was achieved in the SPAB process. High resolution transmission electron microscope (HRTEM) observations showed a thicker silicon oxide interfacial layer from the SPAB process than that from the O2 RIE process. The increase in thickness of interfacial oxide layers in both processes after annealing at 600{degree sign}C for 2 h in air is attributed to the oxygen concentration of silicon bulk wafers. The SPAB process can be explained by the reaction between two metastable surfaces, which allows water removal from interface, resulting in covalent Si-O-Si bonding.

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.

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 score0.378
Threshold uncertainty score0.442

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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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