Novel interconnection and fabrication method for high-frequency ultrasound arrays
Bibliographic record
Abstract
A 9-element annular array is presented that employs a newly-proposed interconnection scheme that simplifies the fabrication process. The fabricated array is a hybrid transducer structure incorporating both a piezoelectric layer and a silicon substrate in the same device. The interconnection scheme consists of a set of 9 equal area Cr/Au electrodes with a 2 mm aperture and 17 μm kerfs patterned on the surface of the silicon substrate using photolithography. A grid of Cr/Au electrodes was patterned on the surface of the piezoelectric layer, and the two layers were connected using an anisotropic conductive adhesive. To avoid the severe alignment restrictions that would result if the two electrode patterns were identical, a grid-pattern of square electrodes was substituted on the piezoelectric layer with a smaller diagonal dimension than the spaces between the silicon electrodes. A Tungsten-loaded epoxy backing layer was added to the acoustic stack and an impedance plot was measured for a single array element. Both 22 MHz and 40 MHz arrays were manufactured and the impedance plots show good correspondence with KLM modeling. A pulse-echo response was generated for the 22 MHz array, showing no degradation due to the silicon layer.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".