Electromagnetic shielding efficiency of hybrid knitted fabrics treated with mxene
Bibliographic record
Abstract
This study details the fabrication of a hybrid fabric structure achieved through the utilization of copper-cotton core-spun yarns and a streamlined dip-coating method for the coating of MXene sheets. This fabrication approach results in a substantial enhancement in electromagnetic interference shielding efficiency (EMI SE) in the X-band frequency (8.2-12.4 GHz) while significantly reducing the required number of MXene coating steps. The textile samples fabricated with 0.08 mm diameter copper core filaments and a knitting density of 12 gauge (needle/inch) exhibit a peak EMI SE of 43.9 dB following three MXene coating cycles, utilizing a 1×1 Rib knit pattern. In comparison, employing a Full Milano knit pattern results in an improved EMI SE, reaching up to 45.2 dB. These findings elucidate the substantial impact of knit structure and the effective MXene coating process on improving the EMI SE for hybrid textiles.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".