Design and Optimization of T-Coil-Enhanced ESD Circuit with Upsampling Convolutional Neural Network
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Bibliographic record
Abstract
T-coils are widely used in high-speed electrostatic discharge (ESD) circuits to increase bandwidth. Like many other RF/microwave devices, T-coil modeling relies on time-consuming electromagnetic (EM) simulations, which precludes quick design space exploration and fast global optimization. In this paper, a machine learning (ML) model is presented to replace EM T-coil simulations, thereby accelerating T-coil design and optimization. Given the geometry of a T-coil layout, the ML model can infer its S-parameters from 100 MHz to 100 GHz nearly instantly. Finally, this ML model is incorporated into a genetic algorithm (GA), affording a 10× speed improvement in the optimization of a T-coil-enhanced ESD circuit in a 22nm FD-SOI CMOS process.
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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 | 0.001 |
| 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) | 0.001 | 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 it