Stretchable Water‐Repellent PEDOT:PSS‐Impregnated Polyurethane Nanofiber Mats for Electromagnetic Interference Shielding
Bibliographic record
Abstract
Abstract High‐performance wearable textiles made from poly(3,4‐ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) hold great promise for electromagnetic interference (EMI) shielding in military and healthcare systems. However, achieving an optimal balance of resilience, flexibility, and electrical properties is challenging due to weak interfacial interactions between PEDOT:PSS and the host substrates. In this study, a robust and stretchable wearable textile fabricated via vacuum‐assisted impregnation of PEDOT:PSS is presented onto an electrospun polyurethane (PU) nanofiber mat. The process creates a convoluted interlock network at the interface layer between PEDOT:PSS and PU nanofiber mat, enhanced by the large contact area, effective chemical interactions, and vacuum‐induced pressure. This results in exceptional tensile strength of 51.2 MPa, 207% elongation, and 86% elastic recovery, surpassing the practical requirement threshold of wearable textiles and fibers. The robust PU‐PEDOT:PSS nanofiber mat shows a normalized EMI shielding effectiveness value of 365.2 dB mm −1 at an ultrathin thickness of 100 µm. This textile is capable of maintaining its shielding performance after continuous loading and unloading cyclic tests up to 100% strain. Additionally, a one‐step, durable, fluorine‐free spray coating is introduced to protect the textile from moisture and dust, thereby extending its service life for practical outdoor applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".