Nano‐Layered Films and Foams
Bibliographic record
Abstract
Micro-/nano-layered (MNL) coextrusion is a processing technique used to form multilayered composites using passive elements called layer multipliers to iteratively divide, stack, and recombine extruded streams of molten polymers. MNL coextrusion is a simple, yet effective way of creating layered composites that exhibit enhanced, or completely novel properties compared to their constituent polymers via precise spatial control of each phase on the micro-/nanometer scales. MNL films have a wide variety of applications in packaging, biomedical components, and dielectric elements, whereas MNL foam/film structures have usage mostly in thermal and sound insulation. Due to the many advantages of multilayered films, many processing methods have been proposed for preparing such films. These methods can be divided into two categories: self-assembly and forced assembly. Barrier films can be found in a variety of applications ranging from food packaging to pharmaceutical products, and filters.
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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) | 0.006 | 0.002 |
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; both teacher heads agree on what is shown here.
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".