The Development of Ferrocene and Vinyl Pyridine Containing Triphenylamine-based Dyes for Integrated Light Harvesting Devices Involving Dye-sensitized Solar Cell Technology
Bibliographic record
Abstract
As new solar cell technologies are developed, their adoption would likely be enhanced through novel applications. To this end, this thesis explores the development of two new types of organic dyes for integrated devices that incorporate dye sensitized solar cell (DSSC) technology; notably, smart windows and motion sensing. DSSCs have the advantage over other solar technologies in that they are optically transparent and can be implemented into various design concepts including bifacial windows or coatings. Because the powerhouse of the DSSC is molecular in nature, they also function in diffuse light, which means they can be employed in technologies thatcould be used in any lightcondition. Furthermore, the dye is the sensitizer and can be tuned further for the desired application. To this end, this thesis examines the development of two different dye families for two different applications. After a brief and generic introduction in Chapter 1, Chapter 2 visits the idea of using ferrocene (Fc) as an additional redox-active donor component to the organic dye. Fc is known for its redox robustness, and the goal to have this functionality added is to enhance the stability of the photo-oxidized dye, such that these dyes and corresponding DSSC devices could be employed in integrated devices, such as smart supercapacitor windows. After examining the structure-property relationships of this dye family, very poor efficiencies will prevent their deployment, and this will be fully articulated in Chapter 2. Chapter 3 explores the potential of appending vinyl pyridinium electron withdrawing groups in the dye architecture (analogous to the Fc-derivatives of Chapter 2). Ultimately, the goal of this chapter was to examine structure-property relationships where DSSC devices could be transformed into motion-sensing windows. In theory, this would be achieved by the development of shunt-like dyes, where specific wavelengths would decrease the performance when absorbing diffuse, long wavelengths of light. Unfortunately, synthetic limitations prevented the completion of the target dyes, but dye precursors are examined for their potential in this application. Owing to the uniqueness of each application, Chapters 2 and 3 have an extensive introduction. Further context can be found at the end of each chapter with conclusions and future work.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".