Numerical Modeling of Self-heating in MOSFET and FinFET Basic Logic Gates Using Effective Thermal Conductivity
Bibliographic record
Abstract
Recent trend of minimization in microprocessors has introduced increasing self-heating effects in FinFET and MOSFET transistors. To study these self-heating effects, we developed self-consistent 3D models of FinFET and MOSFET basic logic gates, and simulated steady-state thermal transport for the worst heating case scenario. Incorporating size-dependent effective thermal conductivity of thin films instead of bulk values, these simulations provide a more accurate prediction of temperature rise in the logic gates. Results of our simulations predict higher temperature rise in FinFETs, compared to MOSFETs. Existence of buried oxide layer and confined geometry of FinFET structure are determined to be the most contributing to this higher temperature rise. To connect the results of our simulations to higher scale simulations, we proposed an equivalent thermal conductivity for each basic logic gate. These values were tested and found to be independent of the magnitude of chosen boundary conditions, as well as heat generation rate.
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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) | 0.000 | 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".