(Digital Presentation) Photopolymerization of Tetraazaporphyrin Based Surfactants and Mesogens
Bibliographic record
Abstract
Intermolecular interactions between tetraazaporphyrin (TAP) macrocycles are less dominated by π-π stacking interactions than interactions between their larger phthalocyanine derivatives. Consequently, the self-organization and -assembly of TAPs is more widely altered by changes to the type of complexed metal ion and substitution pattern. Presented here are different molecular designs for mesomorphic and amphiphilic TAPs that could be cross-linked by “click” chemistry and by the photo and thermal polymerization of diacetylene groups. All compounds were studied by polarized optical microscopy, thermal analysis, and X-ray diffraction to probe their (meso)phase structures and transitions and by the Langmuir-Blodget method to quantify their interfacial properties. Potential applications for these compounds include their use as active materials in sensors, functional coatings for metal oxide nanoparticles, and building blocks for dye nanoparticles. Topochemical Polymerization of a Nematic Tetraazaporphyrin Derivative to Generate Soluble Polydiacetylene Nanowires. M. Nazir Tahir, et al., 2019, Langmuir, 35(47) 15158−15167. Self-organization of Porphyrins and Phthalocyanines in two and three dimensions by S. Holger Eichhorn and Elmahdy Abdulhamied, in “Handbook of Porphyrin Science: Towards Tuned Properties of Porphyrinoids”, Vol. 42, Karl M. Kadish, Kevin M. Smith, Roger Guilard, Eds., World Scientific, Singapore, 2016, 173-232. Cross-linking of discotic tetraazaporphyrin dyes in 2 and 3 dimensions by “click” chemistry. Himadri Kayal, et al., 2013, J. Mater. Chem. C, 1(42), 7064-7072. Face- and edge-on orientations of octa-acid and -alcohol substituted tetraazaporphyrins in langmuir and Langmuir-Blodgett monolayers. M. M. Ahmida, et al., 2013, Soft Matter 9 (3), 811-9.
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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) | 0.202 | 0.050 |
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".