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Record W2902196216 · doi:10.1016/j.nanoen.2018.11.079

In situ characterization of Si-based anodes by coupling synchrotron X-ray tomography and diffraction

2018· article· en· W2902196216 on OpenAlexafffund
Victor Vanpeene, Andrew King, Éric Maire, Lionel Roué

Bibliographic record

VenueNano Energy · 2018
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceAnodeElectrodeSynchrotronPorosityComposite materialDiffractionNanocrystalline materialChemical engineeringNanotechnologyOptics

Abstract

fetched live from OpenAlex

In the present work, combined synchrotron X-ray tomography/diffraction analyses are performed along the 1st and 10th cycles of a Si-based anode made with nanocrystalline/amorphous Si particles synthetized by ball-milling. We are using a porous C paper as a current collector instead of a conventional Cu foil and graphene nanoplatelets as a conductive additive instead of usual carbon black. It is shown that this specific formulation has a major impact on the structural changes of the electrode occurring upon cycling by (i) preventing its macroscopic cracking and related electrical disconnections, (ii) limiting its volume expansion and improving its reversibility, indicative of limited permanent damage in the electrode architecture, (iii) preventing the formation of c-Li15Si4 which is known to be detrimental for the electrode cyclability. However, the capacity fade with cycling remains significant. It can result from the accumulation of SEI products with cycling, progressively obstructing the porous network of the electrode, as supported by a significant decrease of the electrode porosity from 48% to 21% between the 1st and 10th cycle. The displacement and/or micro-cracking of the Si particles can also induce some electrical disconnections and irreversibility of the lithiation reaction. However, this degradation process occurring at the particle scale cannot be clearly identified from the present in-situ XRCT measurements due to spatial resolution limitation.

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 score0.029
Threshold uncertainty score0.416

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 head0.208
Teacher spread0.203 · 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

Citations55
Published2018
Admission routes2
Has abstractyes

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