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Record W4293685907 · doi:10.1002/eom2.12271

Carbonization‐free wood electrode with <scp>MXene</scp>‐reconstructed porous structure for all‐wood eco‐supercapacitors

2022· article· en· W4293685907 on OpenAlexaff
Weimin Chen, Kai Yang, Min Luo, Daotong Zhang, Zhao Li, Chaozheng Liu, Xiaoyan Zhou

Bibliographic record

VenueEcoMat · 2022
Typearticle
Languageen
FieldMaterials Science
TopicMXene and MAX Phase Materials
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSupercapacitorCarbonizationMaterials scienceCapacitanceElectrodeAerogelPorosityElectrical resistivity and conductivityComposite materialConductivityElectrochemistryChemical engineeringChemistryElectrical engineering

Abstract

fetched live from OpenAlex

Abstract To bypass the conventional high temperature carbonization, MXene with an ultra‐high electrical conductivity and good electrochemical activity is coated on natural wood to make it a free‐standing electrode (TW). TW achieves a high electrical conductivity of 106.4 S m −1 and large capacitance of ~700 mF cm −2 at 0.5 mA cm −2 . Furthermore, to overcome the low space utilization of the oversized vessels in wood which leads to a low energy density, a reconstructing strategy is used on TW to fully use the natural porous structure of wood by filling MXene aerogels in vessels. Compared with TW, the MXene aerogel‐loaded TW shows higher electrical conductivity of 323.6 S m −1 and capacitance of 930 mF cm −2 with remarkably high rate capability of 88.2% (0.5–10 mA cm −2 ). Additionally, an all‐wood eco‐supercapacitor is fabricated, and achieves a high energy density of 23 μW h cm −2 at 577 μW cm −2 . image

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 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)0.000
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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.209
Teacher spread0.201 · 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 teacher head, not a consensus.

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

Citations27
Published2022
Admission routes1
Has abstractyes

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