Probing Charge Generation in 3D Photonic Poly(3-hexylthiophene)/Titanium \nDioxide Nanocomposites for Bulk Heterojunction Solar Cells
Bibliographic record
Abstract
Organic photovoltaics (OPVs) are attractive for their inexpensiveness, large-scale fabrication methods, flexibility and semi-transparency. OPVs have lower efficiencies than conventional inorganic semiconductor-based solar cells, and hence methods to enhance light-harvesting properties are sought-after. Photonic crystals are unique nanomaterials that present the ability to enhance light-harvesting properties through electromagnetic field localization and slow photon effect. In this work, three-dimensional photonic crystals were successfully integrated into the active layers of bulk-heterojunction solar cells by fabricating a series of titanium dioxide inverse opals coated with poly(3-hexylthiophene). The optical, morphological, and charge generation properties of the nanocomposites were investigated. Transient photoinduced absorption spectroscopy showed enhanced charge generation due to a potential photonic enhancement and the increased interfacial area of the porous structure. This research serves as a proof of concept, where the photonic properties of inverse opals and their high surface area may be exploited with different materials in other solar cell systems.
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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".