Towards A Computer-Aided Design Tool Dedicated to Foundry Open Gate Junction Field-Effect Transistor Sensor’s Process
Bibliographic record
Abstract
This paper underscores the necessity of creating a user-friendly computer-aided design interface application tailored for the design and simulation of a standard foundry silicon-based transistor called the open-gate junction field-effect transistor (OG-JFET). Leveraging fabricated chip and characterization results, the simulation application is developed using the COMSOL Application Builder. This significantly streamlines the simulation and analysis process, particularly for individuals with limited expertise in electrical engineering and semiconductor devices. Constructing the application within COMSOL Multiphysics offers enhanced adaptability in comprehending and crafting biosensors for prospective users of this technology. This proves vital given the multifaceted demands of biosensor design, which encompass various physics domains such as solution properties, electrical fields, magnetic fields, and charge interactions—all facilitated by the multiphysics nature of COMSOL. These aspects are not readily accessible through other semiconductor simulation software platforms like TCAD. The results of a single channel OG-JFET with a channel length of 5 µm with p-type thickness of 1.6 µm is compared to the experiment showing perfect agreement in the 0.5 < Vgs < 0.8 range and Vds = 1 and 2 with minimum mismatch.
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How this classification was reachedexpand
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 | 0.000 |
| 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 teacher head, 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".