Characterization and assessment of a novel hybrid organic/inorganic metal-insulator-semiconductor structure for photovoltaic applications
Bibliographic record
Abstract
Hybrid organic/inorganic photovoltaic devices have recently emerged as a possible solution to the stability, charge transfer and mobility issues that have been limiting the lifetimes and efficiencies of the organic solar cells. The purpose of the project presented here is to assess the potential of a new hybrid metal-insulator-semiconductor (MIS) photovoltaic device design developed at Carleton University. The silicon substrate is nanostructured with a wet chemical etch resulting in about 1:1 aspect ratio structures of roughly 300nm in size. The interface is passivated with a thin dielectric tunnel barrier of alumina or silica. A layer of transparent conducting polymer, Poly(3,4-ethylenedioxythiophene) (PEDOT), is added through in-situ polymerization. The structure is then completed with a printed silver/polymer composite collection electrode. The electrical current-voltage (I-V) and capacitance-voltage(C-V) characteristics along with the effect of nanostructuring the substrate on the performance of such a solar cell is explored by comparison with unstructured devices. The C-V and I-V measurements are used to estimate changes in the effective device junction due to the structuring. The quality of the insulator layer as well as its optimal thickness are studied. The fabricated structures show photovoltaic behavior with the structuring yielding a significant increase in efficiency. The test structures show promise for the use in photovoltaics and further optimization of such a structure may yield fruitful results in solar applications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 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 teacher head, 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".