Self-Assembly of Triblock Copolymer/Homopolymer Blends: A Comprehensive Study on the Role of Copolymer Architecture
Bibliographic record
Abstract
Discrete polymers with precise chemical structures and uniform chain lengths are utilized to quantitatively investigate the phase behaviors of binary blends composed of linear triblock copolymers and homopolymers. Phase diagrams and structural properties of four sets of blend systems (ABA/A, BAB/A, ABA/B, and BAB/B) were studied and compared. The emergence of a rich array of ordered mesostructures, including lamellae (LAM), hexagonally packed cylinders (HEX), body-centered cubic (BCC), hexagonally close-packed spheres (HCP), double gyroid (DG), and Frank–Kasper σ and A15 phases, was shown to be regulated by systematically varying triblock architecture and the size and concentration of homopolymers. Self-consistent field theory (SCFT) calculations based on the freely jointed chain (FJC) model were performed to understand and explain the experimental observations. Both experimental and theoretical results suggest that homopolymers exhibit greater miscibility with triblock copolymers when the corresponding blocks are located at two ends (e.g., ABA/A and BAB/B) compared with the counterpart systems with homopolymer-miscible middle block (e.g., ABA/B and BAB/A). The distribution of the homopolymers depends critically on the relative chain length, where shorter chains disperse more uniformly within the domains. These findings underscore the pivotal role of copolymer architecture in governing the phase behavior of multicomponent systems.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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".