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Record W4399765584 · doi:10.32920/26052457

Flexible Solid-state Supercapacitors Using 2D White Graphene

2024· preprint· en· W4399765584 on OpenAlexaff
Adel Malekkhouyan

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsToronto Metropolitan UniversityUniversity of Waterloo
Fundersnot available
KeywordsSupercapacitorGrapheneMaterials scienceWhite paperSolid-stateNanotechnologyWhite (mutation)Engineering physicsChemistryCapacitancePhysicsElectrodePolitical science

Abstract

fetched live from OpenAlex

Flexible electronics and current solutions for sustainable energy harvesting such as wind and solar must be amalgamated with an energy storage to store and deliver power properly. The emanation of multifunctional electronic devices with robust mechanical properties like flexibility and the ability to harvest and store energy from abundant sources needs to be designed to integrate with a unique configuration and be an anatomical component of the device at the same time. The central focus of this work is the fabrication of chargeable flexible solid-state energy storage units using functionalized 2D nanoflake hexagonal boron nitride (h-BN). In the first part, synthesized h-BN nanoflakes are used to electrodes, fabricate separator, flexible electrodes, and gel polymer electrolyte. Then, all mentioned components were assembled into the flexible solid-state supercapacitor as a rechargeable energy storage unit. In the assembly method, a reverse evaporation method has been used to obtain the best performance.

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 score0.005

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 head0.040
GPT teacher head0.294
Teacher spread0.253 · 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
Published2024
Admission routes1
Has abstractyes

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