Autocatalytic Deposition of Nickel–Boron Diffusion Barrier onto Diazonium-Treated SiO<sub>2</sub> for High Aspect Ratio Through-Silicon Via Technology in 3D Integration
Bibliographic record
Abstract
In the field of three-dimensional (3D) integration for microelectronics, achieving efficient and reliable deposition of multilayers within a high aspect ratio through-silicon vias (TSVs) is of paramount importance. Conventional physical-based techniques face several challenges in high aspect ratio TSV fabrication, from electrical isolation to copper electro-filling. In this study, we propose an innovative approach using an autocatalytic deposition process to address these challenges. Unlike multistep silane chemistry, our electroless nickel plating is accomplished on diazonium-treated SiO 2 surfaces. Remarkably, the deposited nickel–boron film exhibits excellent step-coverage in high-aspect-ratio TSVs. The robust adhesion of the electrolessly deposited film, combined with its chemical composition, makes it suitable as a diffusion barrier and seed layer for direct electroplating of copper. Consequently, we demonstrate the feasibility of our Cu/Ni–B/SiO 2 stack for efficient copper filling of high aspect ratio TSVs, despite the challenging presence of overhang formations at the via tops.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".