Small‐Peptide‐Based Organogel Kit: Towards the Development of Multicomponent Self‐Sorting Organogels
Bibliographic record
Abstract
The results presented here highlight the extremely useful nature of ultra-short peptides as building blocks in the development of smart multicomponent supramolecular devices. A facile bottom-up strategy for the synthesis of a small library of stimuli-responsive smart organogelators has been proposed based on the predictive self-assembly of ultra-short peptides. More importantly, the narcissistic self-sorting of the gelators has been evaluated as a simple method for the efficient co-assembly of a donor-acceptor dual-component gel, allowing the investigation of possible future applications of similar systems in the development of a supramolecular photo-conversion device. Interestingly, it was observed that the self-organization of the components can lead to highly ordered systems in which discrimination between compatible and non-compatible building blocks directs the effective organization of the chromophores and gives rise to the formation of an excited-state complex with exciplex-like emission. The current report may prove important in the development of organogel-based multicomponent smart devices.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".