Can Melting Point Trends Help Us Develop New Tools To Control the Crystal Packing of Weakly Interacting Ions?
Bibliographic record
Abstract
Ionic liquid forms of biologically active molecules (e.g., active pharmaceutical ingredients or herbicides) are often designed by using weakly interacting, conformationally flexible ions. However, crystalline forms of these molecules involve strong interactions and efficient packing. The salts of biologically active molecules may completely lack the directional supramolecular synthons typically used in crystal engineering, and thus new tools must be developed to control the crystal packing without strong directional interactions and predict their structure–property relationships in advance. The crystal structures of tetrabutylammonium and phosphonium salts of two structurally related, biologically active ions, salicylate and dicamba, show systematic differences from their free acids and metal salts, which are dominated by strong directional interactions. Molecular conformation and the structure of oligomeric ions of acids and their conjugate bases are conserved across multiple structures. The use of flexible, weakly coordinating cations to make salts of high melting biologically active acids can dramatically change melting points based on the size and shape complementarity of the ions and the ability of the cations to enhance anion–anion repulsion.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".