Nanostructured single crystals sandwiched between ordered/disordered coily and rod brushes
Bibliographic record
Abstract
Single crystals of poly(ethylene glycol) (PEG)-b-polystyrene (PS), PEG-b-poly(methyl methacrylate) (PMMA), PEG-b-polycaprolactone (PCL), and polyaniline (PANI)-b-PEG-b-PANI were developed from dilute solutions and thin molten films using self-seeding methodology. The PS and PMMA grafted chains were categorized in disordered nano-brushes; however, the PCL and PANI ones were grouped in ordered nano-brushes. The characteristics of grown single crystals such as surface morphology, growth planes, and thicknesses were investigated using Atomic Force Microscopy (AFM), Electron Diffraction (ED) in Transmission Electron Microscopy (TEM), and Small Angle X-ray Scattering (SAXS). The thickness of PEG substrates, as well as polymer nano-brushes, were in the nanoscale (2-150 nm). Furthermore, the special morphologies of polymer mixed-brushes developed through the growth of single crystals of PEG-b-PS and PEG-b-PMMA diblock copolymers were introduced and characterized. Regardless of different morphologies, the total, substrate and amorphous thicknesses, tethering density as well as ED patterns were compatible in the phase regions covered by similar nano-brushes.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".