Bibliographic record
Abstract
When one soluble fiber is partially merged into liquid, a meniscus forms and the fiber can be dissolved into one pinpoint with curvature. This process has been used in the manufacture of sophisticated pinpoints. However, it is hard to observe the dissolution process in the laboratory and the dissolution mechanisms are still far from being well understood in the nanoscale. Here we utilize molecular dynamics simulations to study the dissolution process of one meniscus-adhered nanofiber. We find that the tip’s curvature radius decreases and then increases, reaching the maximum in the middle state. This state is defined as the “Sh (Sharpest) point”, which can be used as the termination criterion in applications. What’s more, the shape of the pinpoints can be well fitted to the double-Boltzmann function. The upper part is caused by the competition between the chemical potential gradient and molecular forces, while the lower part is controlled by the Cahn-Hilliard equation. The parameters of the double-Boltzmann function have a strong correlation with the width and the material of the nanofiber, where the critical width value is around 125 Å. Furthermore, a shape factor, Sh, allows characterizing the sharpness of the dissolved pinpoints. Finally, the dissolved pinpoints are proved to have the characteristic of shielding capillary effects compared with the normal pinpoints based on theory and simulations. Our findings may help to comprehend the dissolution process of meniscus-adhered nanofiber and provide theoretical support for nano-instrument manufacture.
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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".