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Record W2767672125 · doi:10.1021/acssuschemeng.7b02563

Preparation of an Electric Double Layer Capacitor (EDLC) Using <i>Miscanthus</i>-Derived Biocarbon

2017· article· en· W2767672125 on OpenAlexafffund
Xiangyu You, Manjusri Misra, Stefano Gregori, Amar K. Mohanty

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2017
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsUniversity of Guelph
FundersAgriculture and Agri-Food CanadaNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Research, Innovation and Science
KeywordsPotassium hydroxideMaterials scienceDielectric spectroscopyElectrolyteElectrochemistryCapacitancePorositySpecific surface areaSupercapacitorCurrent densityCapacitorElectric double-layer capacitorMiscanthusHorizontal scan rateChemical engineeringActivated carbonCyclic voltammetryAnalytical Chemistry (journal)ElectrodeComposite materialChemistryAdsorptionChromatographyOrganic chemistryWaste managementBiofuelVoltageBioenergy

Abstract

fetched live from OpenAlex

Abstract Commercially available biocarbon (BC) derived from Miscanthus was activated by potassium hydroxide (KOH) at different BC/KOH ratios of 1:3, 1:4, and 1:5. The structural and morphological changes and the porosity developed in the resultant products were investigated. In addition, the electrochemical performance of the assembled electric double layer capacitors (EDLCs) incorporating these carbonaceous materials was determined using galvanostatic, voltammetric, and impedance spectroscopy techniques. Compared with pristine BC samples, these KOH-activated BC samples exhibited a significant increase in the surface area from 98 to 3024 m2 g?1, which was mainly attributed to the well-developed micropores. By employing the activated BC as an electrode material for EDLCs, comparable capacitance values up to 110.8 F g?1 at a scan rate of 0.05 V s?1 and 65.4 F g?1 at a current density of 1 A g?1 were obtained during operation in an organic electrolyte. The variations in the electrochemical behavior were considered in relation to the surface area and the porous characteristics.

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 score0.001
Threshold uncertainty score0.003

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 communication0.0000.000
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 head0.015
GPT teacher head0.262
Teacher spread0.247 · 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

Citations142
Published2017
Admission routes2
Has abstractyes

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