Effects of Solubilized Homopolymer on Lamellar Diblock Copolymer Structures
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Bibliographic record
Abstract
This paper examines binary blends of homopolymer with diblock copolymer, using numerical self-consistent field (NSCF) theory. On the basis of the general formalism, we identify the minimum number of characteristics of a blend needed to predict its equilibrium morphology and domain sizes. We then specialize to the case of A homopolymer added to A- b -B copolymer and carry out a series of NSCF calculations of the effects of solubilized homopolymer and its distribution throughout each domain. We present a detailed analysis of when the added homopolymer induces an increase or decrease in the domain thickness, compare strong and weak segregation behavior, identify the dominant controlling characteristics and the underlying physics, and make quantitative comparison with experiment. Many of the results are captured in a simple equation. We also suggest a procedure for determining χ parameters.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it