Poly(4-vinylpyridine) adsorption on boron nitride nanotubes and hexagonal boron nitride: A comparative molecular dynamics study
Bibliographic record
Abstract
Abstract One of the foremost challenges in the boron nitride nanotube (BNNT) community is selective separation of BNNTs from the as-produced mixture of various hexagonal BN (hBN) phases. Recently, a polymer with a pyridine group, poly(4-vinylpyridine) (P4VP) has proven to be effective for BNNT dispersion. Here, we performed all-atom molecular dynamics simulations to elucidate the selective dispersion mechanism by characterizing interfacial interactions of P4VP with 12 different types of BNNTs, as well as with 8 different sizes of hBN sheets. The results revealed a prominent effect of lattice curvature (i.e., tube diameter) and morphology (i.e., tubular or planar) on the polymer adsorption conformation and their binding energetics. Remarkably, P4VP tightly wrapped around BNNTs with a well-defined helical pitch, while it formed an extended random coil on planar hBNs. A comparative study on carbon nanotubes and graphenes also highlighted the critical role of electrostatic interaction of P4VP with partially charged BN lattice. Graphical abstract
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".