“Self-Adaptive” Coassembly of Colloidal “Saturn-like” Host–Guest Complexes Enabled by Toroidal Micellar Rubber Bands
Bibliographic record
Abstract
The creation of inclusion complexes with “Saturn-like” geometries has attracted increasing attention for supramolecular systems, but expansion of the concept to nanoscale colloidal systems remains a challenge. Here, we report a strategy to assemble toroidal polyisoprene-b-poly(2-vinylpyridine) (PI-b-P2VP) block copolymer micelles with a PI core and a P2VP corona and inorganic (e.g., silica) nanoparticles of variable shape and dimensions into “Saturn-like” constructs with high fidelity and yield. The precise nesting of the nanoparticles between the toroidal building units is realized by virtue of hydrogen bonding and self-adaptive expansion of the flexible toroidal units enabled by a flexible, low Tg PI core. Once the toroidal units are cross-linked, the self-adaptive feature is lost and coassembly yields instead out-of-cavity bound nanoparticles. “Saturn-like” assemblies can also be formed along silica nanosphere-decorated cylindrical micelles or, alternatively, at the hydroxyl-functionalized termini of cylindrical micelles to yield colloidal [3]rotaxanes.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".