Co-Crystallization of Photoresponsive Molecules with Metal Perchlorates
Bibliographic record
Abstract
The interaction between photoresponsive molecules and potent oxidizers, such as metal perchlorates, is of interest to the Marczenko lab for their potential to control energetic material reactivity, leading to increased energy release and improved detonation. Metal perchlorates, such as manganese (Mn(ClO4)2), nickel (Ni(ClO4)2), and aluminum (Al(ClO4)3), are known for their oxidizing strength, releasing oxygen during decomposition to enhance the combustion capabilities of energetic materials. Additionally, they are thermally stable, making them suitable for higher temperature applications. Photoresponsive molecules can transfer energy from light to matter. The photoresponsive molecules of interest for this project were azobenzene and styrylpyridine derivatives. Co-crystallization of photoresponsive molecules with Mg, Ni, and Al perchlorate salts using slow cooling and evaporation methods yielded positive preliminary results. Characterization techniques, including nuclear magnetic resonance (NMR) spectroscopy and powder X-ray diffraction (PXRD), were utilized to assess molecular identity and phase formations. Diethyl benzylphosphonate was successfully synthesized, which was required for the successful synthesis of (E)-4-styrlpyrdine. Future work will continue to characterize the products from these reactions, generate co-crystals of (E)-4-styrlpyrdine with metal perchlorate salts, and assess the photoreactivity of these new materials.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".