Nonlithographic Hierarchical Patterning of Semiconducting Nanoparticles via Polymer/Polymer Phase Separation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We demonstrate a new and versatile nonlithographic strategy for the lateral patterning of semiconducting quantum dots (QDs) in thin polymer films via phase separation between two immiscible polymer components, one of which is attached as a stabilizing layer to the QD surface. Simple spin-casting of blend solutions containing block copolymer-stabilized cadmium sulfide (CdS) QDs with an external polystyrene (PS) brush layer (PS−CdS) and poly(methyl methacrylate) (PMMA) homopolymer results in solvent evaporation-induced organization of QDs on two disparate length scales: polymer/polymer spinodal decomposition gives rise to tunable microscopic lateral patterning of PS−CdS features (with mesoscopic feature heights), while simultaneous steric interactions between the polymer brush layers on neighboring nanoparticles give rise to a nanoscale liquidlike distribution of QDs within the PS−CdS domains. The correlation length and morphology of the lateral patterns are easily controlled via the spin-casting rotation speed and blend composition, respectively. Subsequent selective removal of the PMMA component allows the production of various photoluminescent PS−CdS features with structural hierarchy on glass substrates, including cellular and wirelike networks and arrays of spatially correlated islands.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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