Strain-Induced Armchair Graphene Nanoribbon Resonant-Tunneling Diodes
Bibliographic record
Abstract
The electronic properties of armchair graphene nanoribbons (AGNRs) can be changed and modified under the uniaxial strain. Taking this advantage, we propose a new platform of AGNR-based resonant-tunneling diode (RTD) using the effects of strain for the first time. In this RTD platform, barrier regions are composed of strained AGNR, whereas channel is made up by pristine AGNR. The calculated results show that the double barrier quantum well is performed for such device, and negative differential resistance property appears in I-V characteristic. In addition, performance of strain-induced 12-AGNR-RTD is explored under the variation of strain percentage (ε). It is realized that the efficiency of such devices consist of peak to valley ratio can be engineered by setting strain percentage (ε) to appropriate orders. Tight binding model coupled with nonequilibrium Green's function formalism is derived for this paper.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".