Activated Diffusion of 1D J-Aggregates in Boron Nitride Nanotubes by Curvature Patterning
Bibliographic record
Abstract
The directed assembly of molecules into micrometer-scale patterns and advanced materials holds broad relevance across fields such as life sciences, photovoltaics, and quantum photonics. However, these processes are often challenged by competing forces such as Brownian motion, capillary interactions, drift, and nonspecific adsorption. Here, we demonstrate a reactivated and guided diffusion mechanism of luminescent dye aggregates after encapsulation within boron nitride nanotubes (BNNTs). Correlative analyses between BNNT curvature and molecular positioning along the nanotube axis reveal efficient long-range migration of dye molecules from curved to straight sections of the BNNT. This curvature-activated diffusion leads to the formation of J-aggregate clusters, arranged in periodic patterns with precise spacings and defined lengths. A phenomenological model of curvature-guided molecular motility is developed to describe 1D diffusion within BNNTs, accurately predicting the size and spacing of J-aggregates as a function of the nanotube length. Finally, this mechanism is exploited using different substrates, such as exfoliated MoS 2 topological steps or micropatterned gratings on the photonic device, to induce local bending of the BNNTs and deterministically control molecular cluster formation.
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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 | 0.001 |
| 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".