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Record W2337687071 · doi:10.1149/ma2015-01/40/2090

Electrically Conducting PDMS Nanocompsite Using in-Situ Reduction of Gold Nanostructures and Mechanical Stimulation of Carbon Nanotubes

2015· article· en· W2337687071 on OpenAlexaff
Jayan Ozhikandathil, Ajit Khosla, Muthukumaran Packirisamy

Bibliographic record

VenueECS Meeting Abstracts · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsUniversity of CalgaryConcordia University
Fundersnot available
KeywordsMaterials sciencePolydimethylsiloxaneNanocompositeCarbon nanotubeNanotechnologyBiocompatibilityFabricationGrapheneMicroelectromechanical systems

Abstract

fetched live from OpenAlex

Electrically conducting nanocomposite has numerous application potential in flexible MEMS and wearable electronics. Polydimethylsiloxane (PDMS) has been identified as an attractive candidate for the fabrication of Bio-MEMS devices due to its several benefits such as biocompatibility, good optical properties, easy and low-cost fabrication using soft-lithography, etc. In this work, an electrically conducting PDMS nanocomposite is synthesized using a novel combined process of in-situ reduction by curing agent of PDMS from aqueous gold chloride solution, and mechanical stimulation of multi-wall carbon nanotubes. The electrical and thermal properties of the nanocomposite is characterized for various concentration of gold chloride solution and conducting fillers in the PDMS matrix. Further, the nanocomposite is micropatterned to fabricate heating elements and electrical signal routing lines in flexible PDMS sheets.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.444
Threshold uncertainty score0.615

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)0.0000.000

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 head0.036
GPT teacher head0.257
Teacher spread0.221 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2015
Admission routes1
Has abstractyes

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