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Record W2792525907 · doi:10.1149/ma2018-01/41/2390

Biomass Activated Carbon for Solid Supercapacitors

2018· article· en· W2792525907 on OpenAlexaff
Keryn Lian, Matthew Genovese, Haoran Wu, Alvin Virya, Jak Li

Bibliographic record

VenueECS Meeting Abstracts · 2018
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSupercapacitorBiomass (ecology)Chemical engineeringMaterials scienceElectrolytePyrolysisCarbon fibersActivated carbonElectrochemistrySpecific surface areaChemistryElectrodeComposite materialOrganic chemistryAdsorption

Abstract

fetched live from OpenAlex

Biomass activated carbon (AC), produced from the pyrolysis of biomass waste feedstock (wood, agricultural residues, etc.) has been studied as low cost Electrochemical Double Layer Capacitor (EDLC) electrodes. Their parent biomass materials also lead biomass ACs with different natural porous templates which can be further tuned or modified via chemical activation techniques. We have investigated several waste biomass ACs ranging from corn cobs, pine cones, to chitosan and found that, while all inherited porous structures from nature, they displayed quite different surface chemical compositions and pore structures. For example, the surfaces area of these biomass AC were in around 570 m2/g, 2400 m2/g and 3300 m2/g, respectively. These differences, especially in surface area, morphology and pore size distribution, have direct impact on the electrochemical performance of these biomass ACs in both liquid and solid electrolytes. Among the three biomass materials, chitosan-based carbon has demonstrated a high level of hierarchical meso-pore structure and the highest specific energy density. Solid-state supercapacitors, enabled by polymer electrolytes, are ideal solutions for future energy storage applications that require high performance, safe operation, light-weight, thin and flexible form factors. We have developed a series of aqueous-based polymer electrolytes that are proton-conducting, hydroxide ion-conducting or neutral salt ion-conducting to match various cell chemistries. Many electrolytes exhibited ionic conductivities >10-2mS/cm and maintained stable performance under ambient conditions (i.e. room temperature and 45% relative humidity). In this talk, we will present the development of solid EDLC devices leveraging biomass ACs and aqueous based polymer electrolytes. The performance of solid EDLC devices using chitosan AC carbon and polymer electrolyte containing Li2SO4 will be compared with their liquid counterpart (Fig. 1) as well as with the commercial baselines. Figure 1

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.026
GPT teacher head0.268
Teacher spread0.243 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

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