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Record W4401257782 · doi:10.1002/cnma.202400113

Filamentous Aerogels for Electromagnetic Shielding

2024· article· en· W4401257782 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemNanoMat · 2024
Typearticle
Languageen
FieldMaterials Science
TopicElectromagnetic wave absorption materials
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAerogelElectromagnetic shieldingElectromagnetic interferenceEMIElectromagnetic radiationMaterials scienceAttenuationNanotechnologyPorosityComputer sciencePhysicsTelecommunicationsOpticsComposite material

Abstract

fetched live from OpenAlex

Abstract The unrelenting expansion of electronics and wireless communications has brought an onslaught of electromagnetic interference and environmental radiation as a new form of pollution. Filamentous aerogels offer a viable solution to this growing challenge: with their hierarchical inter‐ and intra‐filament porosities, they have recently shown great promise as EMI shielding materials. The multidirectional EM wave scattering within their hierarchical porous structure enhances attenuation much higher than conventional monolithic aerogels. This concept paper summarizes recent groundbreaking efforts in filamentous aerogel fabrication, with a focus on liquid streaming and 3D printing approaches. Further research and development could see filamentous aerogels emerge as next‐generation materials to combat the intensification of electromagnetic environmental impacts.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0030.001

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 head0.013
GPT teacher head0.262
Teacher spread0.248 · 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