Photopolymerization of 3D conductive polypyrrole structures via digital light processing
Bibliographic record
Abstract
The intrinsically conductive polymer polypyrrole is conventionally synthesized as monolithic films that exhibit significant actuation strains when subjected to an applied electric potential. Though numerous linear and bending actuators based on polypyrrole films have been investigated, the limitations inherent to planar film geometries inhibit the realization of more complex behaviours. Hence, three-dimensional polypyrrole structures are sought to greatly expand the potential applications for conductive polymer actuators. This research aims to develop a novel additive manufacturing method for the fabrication of three-dimensional structures of conductive polypyrrole. In this investigation, radiation-curing techniques are employed by means of digital light processing (DLP) technology. DLP is an additive manufacturing technique where programmed light patterns emitted from a dedicated source are used to selectively cure a specially formulated polymer resin. Successive curing operations lead to a layered 3D structure into which fine features may be incorporated. Energy dispersive spectroscopy (EDS) is subsequently employed to examine the unique microstructural features of the resultant 3D printed polymer morphology in order to elucidate the nature of the conductivity. These polymer microstructures are highly desirable since actuation response times are highly dependent on ion transport distances, and hence the ability to fabricate fine features offers a potential mechanism to improve actuator performance.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".