Exploring Bodipy Dyes in Light-Harvesting, Energy Transfer and Bio-Inspired Probe Designs
Bibliographic record
Abstract
Attempts to mimic Nature and create artificial photosynthetic systems has transformed from an active chemical curiosity to a full-blown research pursuit, owing to our need for sustainable energy generation. To this end, this thesis explores the use of the dye, BODIPY (4-4’-difluoro-4-bora-3a,4a-diaza-s-indacene). BODIPY dyes have gained considerable attention owing to their highly desirable properties, such as strong absorption, fluorescence quantum yields, good chemical and photo-stability. These desirable physiochemical properties have led to materials that can be used for chemosensors, biological labeling agents, fluorescent switches, laser dyes, and organic sensitizers. For this thesis, a pentamethylBODIPY (2.1a) derivative was further functionalized in order to examine its potential for a myriad of applications. Energy extraction in terms of dye-sensitized solar cells (DSSCs) requires electronically asymmetric molecules as building blocks. In Chapter 2, pentamethylBODIPY (2.1a) was modified using Schiff-base chemistry to create a family of dye building blocks. In this chapter, mono ß-substitution was used to break symmetry in this potential BODIPY building block, thus tuning the electronic and optical properties.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".