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Record W1933068059 · doi:10.1149/1.2200137

Comparison of the Reaction of Li[sub x]Si or Li[sub 0.81]C[sub 6] with 1 M LiPF[sub 6] EC:DEC Electrolyte at High Temperature

2006· article· en· W1933068059 on OpenAlexafffund
Yadong Wang, J. R. Dahn

Bibliographic record

VenueElectrochemical and Solid-State Letters · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaDalhousie University
KeywordsElectrolyteEthylene carbonateDiethyl carbonateMaterials scienceGraphiteLithium (medication)SiliconElectrodeSilicon monoxideInorganic chemistryChemistryPhysical chemistryMetallurgy

Abstract

fetched live from OpenAlex

The reaction of lithiated silicon with ethylene carbonate–diethyl carbonate(EC:DEC) electrolyte was compared with that of and the same electrolyte using accelerating rate calorimetry (ARC). In the presence of -containing electrolyte, and showed similar ARC response in cases where the same number of moles of lithium atoms and the same amount of electrolyte were involved. X-ray diffraction results indicate that the major reaction product is comprised primarily of for both and . Apparently, the reaction product reduces the reactivity with electrolyte of both and . The self-heating rate of reacting with electrolyte was less than that of even though the specific surface area was about twice as large. This suggests composite electrodes using powdered Si-based electrode materials will be as safe as or safer than corresponding graphite electrodes in full-scale Li-ion cells. The reason that the lithiated silicon is safer than is because silicon stores more Li per unit volume than graphite, leading to thicker surface layers that slow the reaction with electrolyte.

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 score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.004
GPT teacher head0.214
Teacher spread0.210 · 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

Citations26
Published2006
Admission routes2
Has abstractyes

Explore more

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