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Record W2606406419 · doi:10.14447/jnmes.v14i4.92

Fabrication of Nanoporous Copper Ribbons with a Broad Range of Pore Size and Its Application in Lithium-ion Batteries

2011· article· en· W2606406419 on OpenAlexvenueno aff
Jiwei Zheng, Shichao Zhang, Wenbo Liu, Yalan Xing, Zhijia Du

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2011
Typearticle
Languageen
FieldMaterials Science
TopicNanoporous metals and alloys
Canadian institutionsnot available
Fundersnot available
KeywordsNanoporousMaterials scienceAnodeLithium (medication)CopperTinElectrochemistryChemical engineeringThermal diffusivityFabricationAlloyNanotechnologyIonComposite materialMetallurgyElectrodeChemistryOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Nanoporous copper (NPC) ribbons with an average pore size of 5~500nm were fabricated by chemical/electrochemical dealloying of Mn55Cu45 alloy. The influence of different kinds of driving forces on Cu atoms surface diffusivity (Ds), which determines the pore sizes of the resultant NPC, was also systematically investigated. The Ds by chemical dealloying with and without surfactants is about 1.08×10-20 m2 s-1 and 1.79×10-18 m2 s-1, through which NPC with pore size of ~5nm and ~50nm was produced, while, in electrochemical dealloying with 0 V SCE potential, Ds and pore size increase to 1.16×10-15 m2 s-1 and ~500nm respectively. The three dimensional NPC ribbons with the largest pore size (500nm) was chosen as the current collectors to fabricate three dimensional tin thin-film anodes (3D-TTA) with homogeneous tin layers on the ligaments by electroless plating for lithium-ion batteries (LIBs). The 3D-TTA exhibits first discharge capacity of 790 mAh g-1, 45% capacity retention after 10 cycles, indicating a promising application in LIBs.

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)0.001
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 score0.001
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.015
GPT teacher head0.234
Teacher spread0.218 · 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

Citations5
Published2011
Admission routes1
Has abstractyes

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