Origin and Manipulation of the Orientation of Colloidal 2D Nanoplatelets in Electrospun Fibers
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Stable jet electrospinning (SJES) enables the incorporation of fluorescent colloidal 2D nanoplatelets (NPLs) into polymer fibers, potentially for optical applications and manipulation of the orientation of the nanoplatelets. Three polymers with excellent optoelectronic properties are used as matrices, namely, poly(methyl methacrylate) (PMMA), cyclic olefin copolymer (COC), and copolycarbonate. The electrospinning parameters are optimized for the production of highly aligned microfibers by SJES. Polarization-resolved fluorescence microscopy is used to determine the orientation of the NPLs within the SJES fibers. For the PMMA fibers spun from a 35 wt % solution, a preferential vertical alignment of the NPL is found. We systematically investigate the origin of the NPL orientation using a series of polymer solutions with well-controlled rheology. During the SJES process, a die swell effect is observed when a highly concentrated viscoelastic polymer solution with a strong elastic component leaves the cannula. The resulting extensional flow causes the anisotropic NPLs to rotate and realign themselves through hydrodynamic forces. Conversely, for concentrations below the overlap concentration, the viscosity drops sharply, and shear thinning disappears, indicating a negligible elastic contribution. The COC and copolycarbonate systems─limited to suboverlap concentrations─exhibited only random NPL orientations. The vertical alignment of the NPLs in the fiber is therefore based on the viscoelastic properties of the non-Newtonian fluid and can be achieved only under strict and specific conditions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".