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Record W2507466356 · doi:10.1149/ma2016-02/3/283

Comparative Study of Si-Ti Thin Films and Alloys As Lithium Ion Anodes

2016· article· en· W2507466356 on OpenAlexaffabout
Yukun Wang, Hui Liu, Min Zhu, M. N. Obrovac

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor materials and interfaces
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMaterials scienceIntermetallicAnodeLithium (medication)ElectrochemistryElectrodeIonSputteringPhase (matter)Sputter depositionAnalytical Chemistry (journal)Thin filmMetallurgyNanotechnologyAlloyPhysical chemistryChemistry

Abstract

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Si based materials have been intensively studied due to the high theoretical capacity of Si (2194 Ah/L, 3579 mAh/g [1, 2]) and applicable lithiation voltage (around 0.4 V [3]). To address the issues brought by severe volume change during the charge-discharge process, the concept of active-inactive Si based alloys has been developed. Si can form intermetallic compounds with some inactive (towards Li) metals, such as Fe, Co, Mn and Ni [4]. These inactive Si 1-x M x phases dilute the expansion of Si and thereby improve electrode cycling performance. Recent reports suggested that the voltage curves of Si 1-x M x alloys can be shifted by hundreds of millivolts, presumably due to the stress induced by the volume expansion of active Si while being bonded to the inactive phase [5]. In this work, Si 1-x Ti x (0 ≤ x ≤ 0.4, Δx = 0.05) alloys were prepared both by ball milling and magnetron sputtering. The structure evolution of these alloys and their electrochemical performance as negative electrodes for lithium ion batteries were compared. The capacity dependence of the Si-Ti alloys on Ti content suggests that these alloys comprise an active Si phase and an inactive Si phase. A voltage shift was observed during the lithiation process of Si 1-x Ti x thin-films. Increasing the Ti content (x ≤ 0.3) was found to gradually lower the lithiation voltage by a shift of up to 600 millivolts, while the average voltage during delithiation process remains constant. (Figure 1). The voltage shift during discharge suppresses the formation of the Li 15 Si 4 phase at full lithiation, resulting in improved cycling performance. This presentation will discuss the structural and electrochemical characteristics of sputtered and ball-milled Si-Ti alloys and their relation to alloy reversible capacity and cycle life. Acknowledgements The authors acknowledge funding from NSERC and 3M Canada, Co. under the auspices of the Industrial Research Chair and Discovery grant programs. We also acknowledge the support of the Canada Foundation for Innovation, the Atlantic Innovation Fund and other partners that fund the Facilities for Materials Characterization managed by the Institute for Research in Materials. Yukun Wang acknowledges the support from SCUT Doctoral Student Short-term Overseas Visiting Study Funding Project. References [1] M.N. Obrovac and L. Christensen, Electrochem. Solid-State Lett. , 7 (5) A93, (2004). [2] M.N. Obrovac and L.J. Krause, J. Electrochem. Soc ., 154 (2) A103, (2007). [3] L. Baggetto, R.A.H. Niessen, F. Roozeboom, and P.H.L. Notten, Adv. Funct. Mater. , 18 (7) 1057 (2008). [4] Z. Du, T.D. Hatchard, R.A. Dunlap and M.N. Obrovac, J. Electrochem. Soc., 162 (9) A1858, (2015). [5] Z. Du, S.N. Ellis, R.A. Dunlap and M.N. Obrovac, J. Electrochem. Soc., 163 (2) A13, (2016). Figure 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 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 score0.043
Threshold uncertainty score0.368

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 head0.028
GPT teacher head0.281
Teacher spread0.253 · 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".

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Citations0
Published2016
Admission routes2
Has abstractyes

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