Bibliographic record
Abstract
Reported within is the development of a new acid-catalyzed synthesis that provides access to alcohol-processable bay-substituted N-H functionalized PDI derivatives. The results were published in a recent manuscript and have been included in Chapters 1 and 2 of this thesis. Full structural and optoelectronic characterization was performed including optical absorption spectroscopy, cyclic voltammetry (CV), single crystal X-ray diffraction (SC-XRD), H-NMR spectroscopy, C-NMR spectroscopy, MALDI-TOF mass spectrometry, CHN elemental analysis, thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC). Molecular design considerations are presented in the context of density functional theory (DFT) energy level diagrams from collaborators in the Rondeau-Gagné lab at University of Windsor. Organic field effect transistor (OFET) device data was collected via our collaboration with the Lessard lab at University of Ottawa. This thesis strives to highlight multiple ways in which our new synthetic method can be utilized to provide high performing and green solvent processable OFET materials. Successes and failures of the synthesis of new targets are documented and discussed with respect to electronic structure considerations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.008 | 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".