Bibliographic record
Abstract
The dye-sensitized solar cell (DSSC) represents one of the most promising next-generation photovoltaic technologies. In addition, the DSSC manifold provides an exceptional platform to further appreciate photoinduced electron transfer and the fundamental features required for light-harvesting. The dye molecule is a key component in the DSSC and has achieved minor success utilizing both an organic and inorganic photosensitizers. DSSC’s show great promise owing to their inexpensive synthesis tunable optical and electrochemical properties, and a plethora of design possibilities. The typical anatomy of organic and inorganic DSSC dyes are comprised of a redox-active donor/chromophore (D) that is connected, through a conjugated linker (π), to an acceptor (A) capable of anchoring to titania (TiO2). Fine tuning each of these components can shift the absorption spectrum increasing the overall device efficiency. Boron-dipyrromethene (BODIPY) is an attractive moiety to integrate into DSSC dyes. BODIPY’s rigid organic framework should be able to improve dye stability while the high extinction coefficients of BODIPY based molecules have the potential to increase device performance. Herein, we explore the synthesis and physicochemical properties of BODIPY in an attempt to synthesize efficient DSSC dye molecules and efficient photovoltaic technologies.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".