Transformations of Molecular Frameworks by Host–Guest Response: Novel Routes toward Two-Dimensional Self-Assembly at the Solid–Liquid Interface
Bibliographic record
Abstract
We review recent new avenues for controlling two-dimensional (2D) self-assembly stabilized by non-covalent interactions. The use of host–guest architectures has opened new pathways for supramolecular self-assembly in two dimensions by immobilizing molecules of interest in 2D nano-porous networks. We also describe how a judicious choice of guest molecule can induce effective changes in host templates. These transformations could enable full control of 2D self-assembly with nanoscale precision, by tuning parameters such as stoichiometry, geometry and non-covalent interactions. This approach is of paramount importance for understanding changes of dimensionality and subsequently the formation of 2D and 3D supramolecular networks and ordered films that can be used as active materials for applications (e.g., electronic 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 | 0.000 | 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) | 0.000 | 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".