Time and Frequency Domain Analysis of MLGNR Interconnects
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Multilayer graphene nanoribbons (MLGNRs) have potentially provided attractive solutions in an intensely growing researched area of interconnects. However, for MLGNR interconnects, the doping is inevitable since the conductivity of neutral MLGNR is much lower than even Cu. Therefore, a doped MLGNR can potentially exhibits smaller resistance in comparison to Cu wires. This paper analyzes and compares the power, delay, and bandwidth performance of Cu and doped MLGNR using an equivalent single conductor model. For similar dimensions, the overall delay and power dissipation of doped MLGNR is substantially smaller by 86.13% and 43.72%, respectively, in comparison to the Cu interconnects. Moreover, MLGNR demonstrates prominently improved bandwidth and relative stability at global interconnect dimensions. However, a narrow width MLGNR in a realistic scenario exhibits rough edges that significantly reduces the mean free path and, thereby, raises its resistance. Considering these facts, this paper for the first time analyzes and compares the performance of Cu and MLGNR interconnects with different edge roughness conditions.
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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 | 0.001 | 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 | 0.000 |
| 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 it