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Record W3013862396 · doi:10.1039/d0ee00342e

Determining the limiting factor of the electrochemical stability window for PEO-based solid polymer electrolytes: main chain or terminal –OH group?

2020· article· en· W3013862396 on OpenAlexafffund
Xiaofei Yang, Ming Jiang, Xuejie Gao, Danni Bao, Qian Sun, Nathaniel Holmes, Hui Duan, Sankha Mukherjee, Keegan R. Adair, Changtai Zhao, Jianwen Liang, Weihan Li, Junjie Li, Yang Liu, Huan Huang, Li Zhang, Shigang Lu, Qingwen Lu, Ruying Li, Chandra Veer Singh, Xueliang Sun

Bibliographic record

VenueEnergy & Environmental Science · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsUniversity of TorontoToronto Public HealthWestern University
FundersNatural Sciences and Engineering Research Council of CanadaMitacsCanada Research ChairsOntario Research FoundationWestern UniversityCompute CanadaUniversity of Toronto
KeywordsElectrolyteTerminal (telecommunication)ElectrochemistryLimitingPolymerElectrochemical windowMaterials scienceSolid-stateChemical engineeringWindow (computing)Side chainPolymer chemistryElectrodeChemistryComputer scienceIonic conductivityComposite materialTelecommunicationsPhysical chemistry

Abstract

fetched live from OpenAlex

Terminal –OH group in PEO-based solid polymer electrolytes is the limiting factor of the electrochemical stability window, replacing it with more stable groups can accelerate the development of high-voltage solid-state 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 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)0.001
metaresearch head score (Gemma)0.004
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.200
Teacher spread0.188 · 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

Citations662
Published2020
Admission routes2
Has abstractyes

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