Fe-Cu Compounds in Dye-Sensitized Solar Cells: Influence of Magnetic Field on Mesoporous Structure
Bibliographic record
Abstract
This paper investigates the effect of applying a static and dynamic magnetic field in the process of depositing the Fe-Cu compound on the working electrode of a dye-sensitized solar cell (DSSC). Depositing this compound on glass is especially hard due to the unfavorable layer inconsistencies that accompany the utilization of the doctor blade technique and the dissociation of the compound at a temperature of 700˚C, which prevents its ability to be evaporated or sintered beyond that temperature. The Fe-Cu compound is appreciably cheaper, relatively simple to produce and is more absorptive (>81%) in the Vis-NIR than the standard TiO2 mesoporous material normally used for DSSCs. The high diffusion of the Fe into the Cu lattice allows the compound to behave as a semiconductor and is found to have a bandgap of 1.8V. The sensitizer used in the production of a test cell consisted of a Schiff base dye with a compatible bandgap of 1.68 eV and resulted in more generated photocurrent than its TiO2 counterpart, which is a promising result for an alternative mesoporous layer in 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 | 0.000 |
| 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".