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Record W2510912795 · doi:10.1002/slct.201600584

Investigation of the Lithiation Mechanism of Fe <sub>3</sub> O <sub>4</sub> ‐Based Composite Anode: the Effect of the Carbon Matrix

2016· article· en· W2510912795 on OpenAlexaff
Chenxing Yan, Chao Wu, Quanchao Zhuang, Leilei Tian, Yongli Cui, Xing Zhao, Zhicheng Ju, Xueliang Sun

Bibliographic record

VenueChemistrySelect · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsWestern University
Fundersnot available
KeywordsAnodeNyquist plotMaterials scienceComposite numberElectrodeLithium (medication)ElectrochemistryCapacitanceIntercalation (chemistry)Carbon fibersAnalytical Chemistry (journal)Chemical engineeringComposite materialChemistryInorganic chemistryPhysical chemistryDielectric spectroscopy

Abstract

fetched live from OpenAlex

Abstract In this work, the Fe 3 O 4 /CNTs composite and Fe 3 O 4 /C composite were synthesized by a facile hydrothermal method without any reducing agents and pyrolysis of glucose, respectively, and the process of the first lithiation of commercial Fe 3 O 4 , Fe 3 O 4 /CNTs and Fe 3 O 4 /C electrode were systematically investigated by EIS as function of electrode potential. It is found that at intermediate degrees of intercalation, the characteristic Nyquist plots of Fe 3 O 4 electrode are composed of three parts, namely, the small semicircle in high‐frequency region can be attributed to the migration of lithium‐ion through SEI film (the resistance of SEI film coupled with SEI film capacitance) as well as contact problems; the semicircle in the medium‐frequency region is attributed to the electronic properties of the material and the large arc in low‐frequency region is due to charge transfer step. Moreover, the changes of kinetic parameters for lithiation process of Fe 3 O 4 /CNTs composite as a function of electrode potential in the first discharge cycle was discussed in detail, and the effect of carbon matrix type on the electrochemical performance and lithiation mechanism of Fe 3 O 4 electrode is given.

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 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 score0.002
Threshold uncertainty score0.494

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 head0.005
GPT teacher head0.197
Teacher spread0.192 · 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.

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

Citations8
Published2016
Admission routes1
Has abstractyes

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