Controllable Organization of Quantum Dots into Mesoscale Wires and\nCables via Interfacial Block Copolymer Self-Assembly
Bibliographic record
Abstract
This paper describes morphology control and characterization of interfacial properties for the\nsynergistic self-assembly of polymer-stabilized CdS quantum dots (QDs), referred to as PS-CdS, with polystyrene-<i>block</i>-poly(ethylene oxide) (PS-<i>b</i>-PEO) diblock copolymers at the air−water interface. This spontaneous process\nyields various hierarchical one-dimensional (1D) QD/polymer hybrid structures with widths commensurate with\noptical wavelengths, ∼300 nm, including wires, cables, branched wires, and rings incorporated along the lengths\nof cables. Control over predominant hybrid assemblies is achieved by varying the PS-CdS/PS-<i>b</i>-PEO blend\ncomposition and the concentration of the spreading solution, with higher PS-CdS fractions resulting in more\nuniform distributions of QDs throughout hybrid structures and higher spreading concentrations giving rise to a\ngreater predominance of 1D structures relative to circular dots and island aggregates. Compression isotherms of\nQD/polymer assemblies at the air−water interface reveal that interfacial behavior of aggregates is also dependent\non the spreading conditions and blend composition; for all spreading concentrations, a maximum is observed in\nplots of the limiting area vs PS-CdS weight fraction in the blends, suggesting a competition between the\nconformational effects of PS-<i>b</i>-PEO dilution and PS-CdS addition. In addition, we describe a mechanism of\nformation for QD/polymer assemblies, based on AFM data of structures obtained at the highest spreading\nconcentration, in which self-assembly is initiated by dewetting of the evaporating polymer solution from the\nair−water interface.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.034 | 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".