On the enhancement of light absorption in vanadium dioxide/1D photonic crystal composite nanostructures
Bibliographic record
Abstract
Abstract The absorption behaviors of a 35 nm-vanadium dioxide (VO 2 ) layer grown on top of a 1D photonic crystal (Sio 2 /Si) 10 are investigated theoretically in the near infrared spectral range. VO 2 has an insulator-to-metal phase transition around a critical temperature of 68 °C. The filling fraction (f) is defined as the portion of the VO 2 in the metallic phase—i.e. f = 0 and f = 1 for semiconductor and metal phase, respectively, and 0 < f < 1 during intermediate stages of the transition. Through the transfer matrix method, the influence of the filling fraction on the absorption of the structure has been inspected. It is shown that near-unity absorption can be achieved through VO 2 semiconductor-to-metal phase transition. Moreover, the tunability of absorption at oblique incidence reveals higher values of absorption peaks in the metallic phase of VO 2 than the semiconducting one at each angle of incidence. In addition, there is sensitivity to the state of polarization, so that the absorption peaks for TE mode are higher than the TM case. Finally, adjusting the thickness of the VO 2 layer indicates the possibility of achieving nearly complete absorption in both the semiconductor and metal phases. We believe that these properties make our structure a suitable basis for designing VO 2 -based absorbers.
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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) | 0.000 | 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 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".