Controllable Organization of Quantum Dots into Mesoscale Wires and Cables via Interfacial Block Copolymer Self-Assembly
Bibliographic record
Abstract
This paper describes morphology control and characterization of interfacial properties for the synergistic self-assembly of polymer-stabilized CdS quantum dots (QDs), referred to as PS-CdS, with polystyrene- block -poly(ethylene oxide) (PS- b -PEO) diblock copolymers at the air−water interface. This spontaneous process yields various hierarchical one-dimensional (1D) QD/polymer hybrid structures with widths commensurate with optical wavelengths, ∼300 nm, including wires, cables, branched wires, and rings incorporated along the lengths of cables. Control over predominant hybrid assemblies is achieved by varying the PS-CdS/PS- b -PEO blend composition and the concentration of the spreading solution, with higher PS-CdS fractions resulting in more uniform distributions of QDs throughout hybrid structures and higher spreading concentrations giving rise to a greater predominance of 1D structures relative to circular dots and island aggregates. Compression isotherms of QD/polymer assemblies at the air−water interface reveal that interfacial behavior of aggregates is also dependent on the spreading conditions and blend composition; for all spreading concentrations, a maximum is observed in plots of the limiting area vs PS-CdS weight fraction in the blends, suggesting a competition between the conformational effects of PS- b -PEO dilution and PS-CdS addition. In addition, we describe a mechanism of formation for QD/polymer assemblies, based on AFM data of structures obtained at the highest spreading concentration, in which self-assembly is initiated by dewetting of the evaporating polymer solution from the air−water interface.
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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".