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Record W3049078327 · doi:10.1088/1361-6528/abaf83

Walnut-like MoO <sub>2</sub> with interconnected skeleton and opened muti-channel for fast sodium storage

2020· article· en· W3049078327 on OpenAlexaff
Xinyue Liu, Zhanwei Xu, Ying Wang, Zhi Li, Xiaoxian Wang, Tian Wang, Kai Yao, Jianfeng Huang

Bibliographic record

VenueNanotechnology · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsNational Institute for Nanotechnology
Fundersnot available
KeywordsAnodeMaterials scienceRedoxSodiumMolybdenumDiffusionIonChemical engineeringMetalElectrical resistivity and conductivityElectrodeMetallurgyChemistryElectrical engineeringPhysical chemistry

Abstract

fetched live from OpenAlex

Abstract Molybdenum dioxide (MoO 2 ) has attracted lots of theoretical interest as an anode material for sodium ion batteries (SIBs) due to its high theoretical capacity (836 mA h g −1 ) and metallic electrical conductivity (1.9 × 10 2 S cm −1 ). The insertion reaction, forming Na 0.98 MoO 2 and the reversible conversion reaction, forming Mo and Na 2 O from Na 0.98 MoO 2 contribute capacities of 209 and 627 mA h g −1 , respectively, the latter occupies 75% of the totally theoretical capacity. However, intrinsic slow kinetics in bulk MoO 2 severely restricts the redox conversion reaction. In the present work, a walnut-like MoO 2 architecture (W-MoO 2 ) with opened multi-channel and interconnected skeleton was prepared in a tube furnace, providing an interconnected ion/electron dual-pathway, which effectively facilitates Na + diffusion and reduces the internal resistance of the cells. The W-MoO 2 anode demonstrates an enhanced reversible sodium storage capacity of 354.7 mA h g −1 at 0.5 A g −1 .

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)
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 score0.136
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.204
Teacher spread0.194 · 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
Published2020
Admission routes1
Has abstractyes

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