Plasmon‐Enhanced Silicon Nanowire Array‐Based Hybrid Heterojunction Solar Cells
Bibliographic record
Abstract
In the last decade, freestanding, single crystal silicon nanowires (SiNWs) have attracted significant attention as a potential material for low‐cost optoelectronic devices. In this paper, we demonstrate how strong localized surface plasmon modes, induced using silver nanoparticles, can be used to achieve significant improvement in a simple hybrid organic–inorganic photovoltaic device between n‐type silicon nanowires and poly(3,4‐ethylenedioxythiophene):poly‐(styrenesulfonate) (PEDOT:PSS). At photon energies above plasmon resonance, metallic nanoparticle‐induced absorption leads to a dramatic reduction of the reflectivity and we report a significant improvement in both the short circuit current density ( J sc ) and the open circuit voltage ( V oc ). This leads to an overall 52% increase in the power conversion efficiencies (PCEs) of the photovoltaic devices when decorating the SiNWs with silver nanoparticles prior to PEDOT:PSS deposition.
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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".