Electrochemical Grafting of an Aminated Poly(methyl methacrylate) (PMMA)-like Liner onto a Silicon Surface for the Metallization of Microfeatures
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide The micro/nanofabrication industry’s transition from physically deposited dielectric films toward relatively inexpensive insulating polymeric materials faces a challenging metallization step in progression. In this work, we demonstrate a metallization scheme constituting simple and completely aqueous chemical steps─from Si passivation to metallization. We first propose a versatile diazonium-based electrochemical process to graft an in situ aminated poly(methyl methacrylate) (PMMA) liner onto Si microfeatures with high step-coverage. These amine-terminated groups functionalize the grafted PMMA-like liner with palladium chloride complex activators and allow direct autocatalytic deposition of Ni–B film while avoiding any further amination step as conventionally required for polymeric surfaces. The obtained Ni–B film exhibiting high uniformity, strong adhesion to the polymer film, and excellent step-coverage from the top, sidewall, and bottom of the microstructures fulfills all requirements of a conducting seed layer for the subsequent electrolytic deposition of copper.
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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) | 0.001 | 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".