Solvent-doped PEDOT:PSS: Structural transformations towards enhanced electrical conductivity and transferable electromagnetic shields
Bibliographic record
Abstract
The enhanced electrical conductivity of solvent-doped poly(3,4-ethylenedioxythiophene): poly(styrene sulfonate) (PEDOT:PSS) is attributed to the screening effect between PSS and PEDOT chains. Yet, the precise manner in which this effect influences the crystalline structure and conformation of PEDOT:PSS remains unclear. In this study, we utilize Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), and Grazing-incidence wide-angle X-ray scattering (GIWAXS) to examine the conformational changes and two-dimensional (2D) crystalline structure of PEDOT:PSS when doped with a variety of solvents, including dimethyl sulfoxide (DMSO), ethylene glycol (EG), dimethylformamide (DMF), methanol (MeOH), ethanol (EtOH), tetrahydrofuran (THF), and acetone. Our observations unveil that solvent doping improves the electrical conductivity of PEDOT:PSS by modifying its crystalline structure. This alteration leads to a reduced inter-lamellar (d200) and π-π stacking distance (d010), facilitating the formation of densely packed and well-ordered PEDOT crystallites in both face-on and edge-on orientations. Moreover, this doping process enhances the transferability and mechanical properties of drop-casted films, resulting in a flexible and transferable electromagnetic interference (EMI) shield with exceptional total shielding effectiveness (SET) of 35.70 dB and specific shielding effectiveness (SSE/t) of 7105.34 dB cm2.g−1.
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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) | 0.000 | 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 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".