Bibliographic record
Abstract
Accurate characterization of active devices is one of the most crucial steps in efficient microwave circuit design. As the operating frequency increases, the dimensions of the electrodes of microwave transistors such as FETs become comparable to the wavelength, highlighting the parasitic effect of wave propagation and phase cancellation. Thus, this effect needs to be accurately evaluated in the device model to assure a reliable design. In this work, we proposed new small- and large-signal FET models for efficient millimeter-wave circuit design. In our approach, the device width was divided into an infinity number of segments, while each segment was considered as a combination of three coupled lines and a conventional FET equivalent circuit. By solving a set of multiconductor transmission line equations using the Finite-Difference Time-Domain (FDTD) technique, an accurate and efficient transistor modeling approach has been introduced. Furthermore, a new distributed noise FET model was proposed. It consists in a threecoupled excited transmission line (TL) structure in which the Laplace transformation was applied to determine the noise currents and voltages of lines. The structure was also analyzed by applying the Green's function concept as a wave approach. The proposed distributed mm-wave noise FET model has been demonstrated through successful comparison with measurements.
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 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) | 0.000 | 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 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".