Fabrication and Patterning of Magnetic Polymer Micropillar Structures Using a Dry-Nanoparticle Embedding Technique
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Bibliographic record
Abstract
Previously, solvent casting techniques have been used for the fabrication of magnetic polymer micropillar structures. These techniques provide very limited control over magnetic-particle placement, and particle agglomeration limits their use with highly viscous polymers such as polydimethylsiloxane. We report a new technique for the fabrication of magnetic polymer micropillars to overcome the aforementioned limitations. In this technique, magnetic micro-/nanoparticles are applied to a mold in their dry particulate state, omitting the need for the use of solvents. We demonstrate magnetic micropillars with uniform properties using high-viscosity polymers and iron nanoparticles. We show that simple modifications to the dry-nanoparticle embedding technique allow the embedding of other functional (nonmagnetic) particles inside the polymer micropillars, and we demonstrate patterning of the device. We present experimental results for the material composition, the magnetic properties, and the bending performance of our magnetic micropillar arrays. Compared to previously fabricated magnetic micropillars of similar dimensions and using lower magnitudes of externally applied magnetic fields and magnetic field gradients (286 mT, 41.45 mT/mm), our 8-μm-diameter 18-μm-high pillars produce an estimated maximum horizontal tip force of 0.33 ±0.08 μN, larger than the values previously reported.
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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 | 0.000 |
| 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) | 0.000 | 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 it