Mechanical and Electrical Properties of 3D‐Printed Highly Conductive Reduced Graphene Oxide/Polylactic Acid Composite
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
A conductive network of reduced graphene oxide (rGO) overlaying on a lightweight polymeric scaffold can offer notable electrical properties while maintaining the same mechanical properties as a similar feature without rGO layer. However, conventional methods are unable to produce customized architecture with controllable electronic and mechanical properties. Herein, a simple methodology for preparing objects of complex geometries by 3D printing that possesses the capability to exhibit a diverse spectrum of conductivity levels depending upon the dip‐coating process is reported. The versatile two‐step process is beneficial to create highly conductive objects as low as 100 Ω sq −1 and lightweight rGO networks. Alternative to inkjet printing and direct fluid dispensing methods, the fabrication method for 3D rGO networks provides the opportunity to combine material selection and advanced printing techniques, thus achieving desired performance criteria at a low cost. Simple fabrication techniques for robust 3D rGO networks hold promise for designing objects with unique properties, offering both high resistance to external mechanical force and uniform internal electronic properties.
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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) | 0.001 | 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) | 0.000 | 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