Plasmon Enhanced Dual Band Upconverters
Bibliographic record
Abstract
Upconversion is a promising route to absorb photons below the bandgap energy of Si and GaAs solar cells. Here we report upconversion from two prominent IR solar bands around 1210 nm and 1520 nm using plasmon enhanced upconversion in 2% doped NaYF4: Er3+ nanoparticles with gold nanorods. Gold nanorods with resonances at 808 nm and 980 nm were used to selectively increase the upconverted emission at those wavelengths. Erbium doped nanoparticles demonstrate no upconversion under 1210 nm excitation alone; however, in the presence of 1520 nm excitation, an intermediate state is populated and the 1210 nm light contributes to the upconversion as well. The selective plasmon-enhanced emission at 980 nm and at 808 nm are close to the bandgaps of Si and of GaAs; this makes them promising candidates for improving efficiency of Si-based and GaAs-based solar cells.
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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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".