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Record W2953994830 · doi:10.22215/etd/2019-13510

Electrospun PEDOT:PSS Electrolytic Capacitors Electrodes for Microelectronic Energy Storage

2019· dissertation· en· W2953994830 on OpenAlexaff
Colin Fernandes

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsCarleton University
Fundersnot available
KeywordsMaterials scienceEnergy storageSupercapacitorPEDOT:PSSAnodePropylene carbonateDielectric spectroscopyElectrolyteCapacitorMicroelectronicsCyclic voltammetryElectrodeCapacitanceNanotechnologyOptoelectronicsElectrochemistryElectrical engineeringVoltageChemistryEngineering

Abstract

fetched live from OpenAlex

This thesis investigates the use of electrospinning process as an additive fabrication method to deposit porous ultrahigh surface area poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PE-DOT:PSS) as electrodes for use in electrolytic capacitors for powering microelectronic circuits.An electrospinning process for depositing high PEDOT content fibres is established using Baytron P/Poly(ethlyene Oxide)/Dimethyl Sulfoxide.The electrospun fibre mats are utilized as both the anode and cathode with Lithium Perchlorate (LiClO4)/ Propylene Carbonate (PC) as the electrolyte.This work investigates the electrochemical operation, charge storage metrics, and lifecycle through cyclic voltammetry, DC charging, and electrochemical impedance spectroscopy.Results demonstrate non-faradaic charge storage dominates up to 1.1 V with a maximum achieved areal capacitance and energy storage of 5.25 mF cm -2 and 3.18 mJ cm -2 respectively.The lifecycle investigation finds a 4 % capacitance increase after 20,000 1.1 V cycles at 0.5 Hz.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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 communication0.0000.001
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 head0.007
GPT teacher head0.232
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2019
Admission routes1
Has abstractyes

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