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3D printing of transparent pH-mediated high-water-content hydrogels for electromagnetic interference (EMI) shielding

2021· article· en· W4200587827 on OpenAlex
Saeed Ghaderi, Milad Kamkar, Ahmadreza Ghaffarkhah, Majed Amini, Amir Hosein, Mohammad Arjmand

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

Venue2021 IEEE Sensors · 2021
Typearticle
Languageen
FieldMaterials Science
TopicElectromagnetic wave absorption materials
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsElectromagnetic shieldingSelf-healing hydrogelsMaterials scienceEMI3D printingElectromagnetic interference3d printedShieldsFabricationOptoelectronicsComputer scienceComposite materialBiomedical engineeringTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

3D printing techniques allow for fabricating accurate structured and complex parts, designed via computer-aided design (CAD). In this research, we introduce extrusion 3D printing of optically transparent, high-water-content (96%) hydrogels toward fabrication of easy-to-make, cost-effective electromagnetic interference (EMI) shields. First, we designed polyacrylic acid soft hydrogels with different concentrations to achieve a 3D printable composition with desired rheological properties. Then, 4wt.% transparent hydrogel was printed into different structures on a cellulose acetate substrate. The 3D-printed (100% infill) hydrogels containing 96wt.% water demonstrated appreciable EMI shielding as high as 18.6 dB at a thickness of 1.6 mm. More importantly, it is shown that the 3D printing technique allows for macroscale patterning of the shields, providing more degrees of freedom in tuning the EMI shielding performance. Our achieved results validated that the 3D-printed transparent hydrogels attenuate EM waves noticeably, rendering them a superb candidate for high-performance optically transparent EMI shields.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0030.000

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 head0.040
GPT teacher head0.252
Teacher spread0.212 · 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