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Record W2803107502 · doi:10.1002/aelm.201800092

Direct Semiconductor Laser Writing of Few‐Layer Graphene Polyhedra Networks for Flexible Solid‐State Supercapacitor

2018· article· en· W2803107502 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvanced Electronic Materials · 2018
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsSt. Francis Xavier University
FundersPriority Academic Program Development of Jiangsu Higher Education Institutions
KeywordsMaterials scienceSupercapacitorGrapheneElectrolyteCapacitanceNanotechnologySemiconductorCarbon fibersLaser ablationPolymerChemical engineeringHeteroatomOptoelectronicsElectrodeLaserComposite materialOpticsOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Here, a simple one‐step fabrication methodology is presented for continuous heteroatoms‐doped carbon polyhedra networks via direct semiconductor laser writing on polyimide sheets. It is found that these nanosized polyhedra are nonporous solids and comprised of few‐layer graphene. By the adoption of lithium containing polymer gel electrolyte, flexible solid‐state supercapacitors are designed and assembled in planar and interdigitated configuration with the irradiated plastic sheets as electrodes. When compared to their counterparts with the acid gel electrolyte, they exhibit high areal specific capacitance up to 34.7 mF cm −2 (vs ≈8 mF cm −2 ) at the current density of 0.1 mA cm −2 . This substantial enhancement is considered to be due to the combination of Faradaic intercalation and non‐Faradaic absorption of the Li‐ions at the carbon polyhedra membrane electrodes. With the improvement of energy density, the complex of supercapacitor device is capable of lighting the liquid crystal display of a commercial hygrometer for ≈1 min.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.275
Teacher spread0.260 · 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