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Record W3210529746 · doi:10.1002/aenm.202170156

Design Zwitterionic Amorphous Conjugated Micro‐/Mesoporous Polymer Assembled Nanotentacle as Highly Efficient Sulfur Electrocatalyst for Lithium‐Sulfur Batteries (Adv. Energy Mater. 40/2021)

2021· article· en· W3210529746 on OpenAlexaff
Jiabing Liu, Haipeng Li, Jiayi Wang, Yongguang Zhang, Dan Luo, Yan Zhao, Yebao Li, Aiping Yu, Xin Wang, Zhongwei Chen

Bibliographic record

VenueAdvanced Energy Materials · 2021
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPolysulfideElectrocatalystMaterials scienceNanotechnologyMesoporous materialConjugated systemPolymerSulfurLithium (medication)CatalysisOrganic chemistryElectrodeChemistryElectrochemistryComposite materialMetallurgy

Abstract

fetched live from OpenAlex

Zwitterionic Electrocatalysts In article number 2101926, Yongguang Zhang, Xin Wang, Zhongwei Chen and co-workers design a novel zwitterionic conjugated micro/mesoporous polymer on carbon nanotubes as an assembled nanotentacle, serving as a highly efficient sulfur electrocatalyst for Li–S batteries. The zwitterionic engineering provides a new strategic perspective toward rational polysulfide regulation and conversion, holding great promise in promoting the future development of practical Li–S batteries.

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 score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.012
GPT teacher head0.243
Teacher spread0.232 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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