A Self-Aligned Structure based on V-groove for Accurate Silicon Bridge Placement
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.
Bibliographic record
Abstract
As a lower cost alternative to silicon interposers with through silicon vias (TSVs), silicon bridges have been developed for high-performance computing (HPC) and/or heterogeneous integration. One of the most important steps of this advanced packaging technology is the accurate placement of the silicon bridge die with the organic substrate or with the dies requiring the high-density interconnections. In this paper, we demonstrated a novel mechanism for the straightforward and accurate insertion of silicon bridges into substrates. More specifically, mechanical fiducial in the form of V-groove were etch into the back side of functional bridges comprising Cu pillars, high-density Cu traces and insulating layers on their front side. Correspondingly, 4 SAC305 solder spheres were attached onto the substrate through thermal reflow to anchor the bridge. During the silicon bridge placing process, these 4 couples of concave and convex structures would pair and align each other automatically, determining the x, y and z final position of the silicon bridge. Experimental results showed that with such self-aligned structures, the placement drift of the silicon bridge could be confined to 2.5 μm.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 it