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Record W3010581987 · doi:10.1021/jacs.9b13572

Revealing High Na-Content P2-Type Layered Oxides as Advanced Sodium-Ion Cathodes

2020· article· en· W3010581987 on OpenAlexaff
Chenglong Zhao, Zhenpeng Yao, Qidi Wang, Haifeng Li, Jianlin Wang, Ming Liu, Swapna Ganapathy, Yaxiang Lu, Jordi Cabana, Baohua Li, Xuedong Bai, Alán Aspuru‐Guzik, Marnix Wagemaker, Liquan Chen, Yong‐Sheng Hu

Bibliographic record

VenueJournal of the American Chemical Society · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsUniversity of Toronto
FundersDivision of Materials ResearchNatural Science Foundation of Beijing MunicipalityEngineering and Physical Sciences Research CouncilBeijing Municipal Science and Technology CommissionChina Scholarship CouncilBasic Energy SciencesMinistry of Science and Technology of the People's Republic of ChinaChinese Academy of SciencesNederlandse Organisatie voor Wetenschappelijk OnderzoekNational Natural Science Foundation of China
KeywordsChemistryIonSodiumCathodeInorganic chemistryChemical engineeringPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

layers (P2-O2 structural transition), as reflected by the ultralong cycle life (3000 (dis)charge cycles demonstrated). These findings expand the horizons of high Na-content P2-type materials, providing new insights of the electronic and structural chemistry for advanced cathode materials.

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 score0.004

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 communication0.0010.000
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 head0.026
GPT teacher head0.260
Teacher spread0.234 · 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

Citations429
Published2020
Admission routes1
Has abstractyes

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