Microfluidic Assembly of Quantum Dot Micelles
Bibliographic record
Abstract
The controlled self-assembly of polymer-stabilized CdS quantum dot nanoparticles into quantum dot compound micelles (QDCMs) using microfluidics is demonstrated. In a flow-focusing configuration, water is introduced to a blend solution of block copolymer-stabilized quantum dots with amphiphilic block copolymer stabilizing chains. QDCM assembly via initial phase separation and subsequent agglomeration continue until a downstream quench step. Control over mean particle size and size distribution characteristics is demonstrated via both inlet concentrations and flow rate. The QDCMs assembled through this method are stable in aqueous solutions, and show internal and external structure in keeping with previous assembly methods. The on-chip evolution of QDCM formation and growth is resolved through fluorescence scattering. Particle size distributions and associated statistics are determined through off-chip analysis.
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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 | 0.001 | 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 | 0.001 |
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".