Wafer post-processing for a reconfigurable wafer-scale circuit board
Bibliographic record
Abstract
The WaferBoard™ rapid prototyping platform for electronic systems is proposed as a tool to help meet today's tight delivery time, performance and reliability constraints. At the core of WaferBoard™ is the WaferIC™, a wafer-scale reconfigurable CMOS circuit. At the surface of this complex circuit is a sea of identical contacts, any pair of which can be interconnected through a mesh grid network called WaferNet™. The user can simply deposit packaged integrated circuits on the smart active surface, and then a complex interconnect pattern between these ICs can be established in a matter of minutes. As is the case with development of any novel technology, design of the platform poses several technical challenges. Postprocessing tasks to be accomplished on the CMOS wafer are laid out hereafter. A .18µm CMOS TestChip fabricated to validate the WaferIC™ concept on a 1/100th scale is outlined. Furthermore, sample microfabrication results, such as TSV etching, are presented along with thermo-mechanical investigation outcomes.
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.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".