Improved Model for Nanowire BioFETs on SOI Operating in Electrolyte
Bibliographic record
Abstract
Using a readily available finite element code (Freefem++) the performance of nanowire (NW) field-effect transistors used as bio-affinity sensors has been simulated in 2D using realistic models for the semiconductor, gate insulator, Stern layer, and a layer of charged biomolecules (DNA) in electrolyte. The simulations are compared to those published previously for cylindrical NWs suspended in electrolyte. Calculations for Si NWs with circular and trapezoidal cross-section on SOI substrates are compared to assess the relative sensitivities for the devices made during the top-down (cylindrical) and bottom-up (trapezoidal) approach to device fabrication. It is shown that the performance of the trapezoidal structures could be superior, even when compared to cylinders with smaller dimensions. The simulations are compared to recent pH measurements with trapezoidal nanowires and pave the way to improved simulations for DNA and protein attachment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".