Recent progress and perspective in additive manufacturing of EMI shielding functional polymer nanocomposites
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
Because of rapid progress in the electronics industry, the market has faced a huge demand for novel materials in the field of electromagnetic interference (EMI) shielding. Conductive functional polymer composites have demonstrated great potential to fulfill this requirement. To synthesize the polymeric composites, functional conductive nanoadditives such as graphene, carbon nanotubes, and MXene are commonly added to polymeric matrices, and the conductive polymer nanocomposites exhibit promising electrical conductivity as well as EMI shielding performance. Additive manufacturing (AM), also referred to as three-dimensional (3D) printing, has been increasingly employed to fabricate complicated geometry components in the medical, aerospace, and automotive industries. AM has also been used to fabricate advanced EMI shielding materials for sensors, supercapacitors, energy storage devices, and flexible electronics. This review aims at introducing the different 3D printing methods applied for the fabrication of EMI shielding polymer nanocomposites. The impact of the AM process on the functionality of the samples is also reviewed. Additionally, the influence of the nanofiller type and amount on the microstructure and performance of the fabricated nanocomposites is discussed. Finally, the prospects and recommended works for future study are outlined.
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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 | 0.002 | 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) | 0.007 | 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