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Record W4408864084 · doi:10.1088/2058-8585/adc589

Electromagnetic interference shielding in soft, lightweight, and flexible conducting polymer-based sponges

2025· article· en· W4408864084 on OpenAlexafffund
Biporjoy Sarkar, Floriane Miquet‐Westphal, Jiaxin Fan, Gayaneh Petrossian, Fabio Cicoira

Bibliographic record

VenueFlexible and Printed Electronics · 2025
Typearticle
Languageen
FieldMaterials Science
TopicElectromagnetic wave absorption materials
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsElectromagnetic shieldingElectromagnetic interferenceInterference (communication)Materials scienceComposite materialEngineeringElectrical engineeringChannel (broadcasting)

Abstract

fetched live from OpenAlex

Abstract Developing highly efficient, low-density, and mechanically flexible electromagnetic interference (EMI) shielding materials based on conducting polymers has gained significant momentum for suppressing electromagnetic pollution. In our work, we investigated the EMI shielding behavior of uniaxially compressible sponges using the conducting polymer poly(3,4-ethylenedixoythiophene) polystyrene sulfonate (PEDOT:PSS) in the X-band frequency range of 8–12.4 GHz. Two types of PEDOT:PSS sponges, type-I with glycerol and (3-glycidyloxypropyl) trimethoxy silane and type-II containing glycerol and polyethylene glycol, were prepared by freeze-drying method. Both sponges exhibited a rapid decrease in resistance for the initial compressive strain of less than 20%, which stabilized at higher compressive strains. This behavior was likely due to the complex 3D porous structures of the sponges and was linked to the creation of new electrical contacts due to pore collapse under compressive strain. The enhanced electrical conductivity, porous structure, large surface area, and many internal surfaces resulted in exceptional EMI shielding for PEDOT:PSS sponges, achieving shielding values as high as 44 dB and 72 dB, respectively. The EMI shielding in these materials was primarily dominated by the reflection process. This work contributes to developing flexible and high-efficiency EMI shielding materials for flexible electronic applications in the future.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.021
GPT teacher head0.273
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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