MétaCan
Menu
Back to cohort
Record W2520690163 · doi:10.1149/ma2016-02/5/671

Diffusion Measurements of Mg in High Capacity Thiospinel Mg<sub>x</sub>Ti<sub>2</sub>S<sub>4</sub>

2016· article· en· W2520690163 on OpenAlexaff
Patrick Bonnick, Xiaoqi Sun, Linda F. Nazar

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldMaterials Science
TopicCrystal Structures and Properties
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsIntercalation (chemistry)OxideElectrolyteMetalBattery (electricity)ElectrodeMaterials scienceDiffusionPhase (matter)Chemical engineeringNanotechnologyChemistryInorganic chemistryMetallurgyPhysical chemistry

Abstract

fetched live from OpenAlex

The demand for smaller batteries capable of storing the same amount of energy as conventional Li-ion technology has led to the pursuit of several new technologies including rechargeable Mg batteries. Mg metal is attractive as a negative electrode material because it has a higher volumetric capacity density (3833 mAh/mL) than Li metal (2062 mAh/mL), is the 8 th most abundant element in the earth’s crust, is safe to handle in ambient atmosphere, and can be electrodeposited (charged) without the formation of dendrites. 1 The seminal work by Aurbach et al. in 2000 2 established an electrolyte and a positive electrode material, the Chevrel phase (Mo 6 S 8 ), that was paired with Mg metal to form the first rechargeable Mg battery. Mg 2+ intercalation in host materials is more difficult than that of Li + or Na + , displaying lower ion mobility in solid oxide hosts 3 and a probable higher desolvation energy penalty. 4 No further positive electrode materials with both notable capacity and cycle life have been demonstrated since the Chevrel phase, until now. In this presentation, we will demonstrate that the thiospinel Ti 2 S 4 reversibly intercalates Mg 2+ with a 2 nd cycle capacity of about 165 mAh/g, which drops to only 140 mAh/g after 40 cycles at C/10 as shown in Figure 1. Of crucial scientific importance is that Ti 2 S 4 provides a second example of a material that supports facile Mg 2+ diffusion, which could help elucidate why Mg 2+ intercalation is so difficult in other potential cathode materials. In exploring Mg 2+ diffusion, the first step is to measure the chemical diffusion coefficient, D. The galvanostatic intermittent titration technique (GITT) 5 is a versatile method of carrying this out for an intercalant like Mg 2+ if a reliable cell can be constructed that has a long enough diffusion length to produce a linear potential vs time response reflecting Fick’s laws of diffusion. Figure 2 shows a typical GITT experiment on thiospinel Mg x Ti 2 S 4 , which displays the required potential vs time response. This talk will elaborate on the results of the diffusion measurements we have performed and compare those results to theory. References J. Muldoon, C. B. Bucur, and T. Gregory. Chem. Rev. 114 , 11683-11720 (2014). D. Aurbach, Z. Lu, A. Schechter, Y. Gofer, H. Gizbar, R. Turgeman, Y. Cohen, M. Moshkovich and E. Levi. Nature 407 , 724-727 (2000). E. Levi, Y. Gofer, and D. Aurbach. Chem. Mater. 22 , 860-868 (2010). L. F. Wan, B. R. Perdue, C. A. Apblett and D. Prendergast. Chem. Mater. 27 , 5932-5940 (2015). W. Weppner and R. A. Huggins. Solid-State Science and Technology 124 , 1569-1578 (1977). 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)0.002
metaresearch head score (Gemma)0.001
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 score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.027
GPT teacher head0.219
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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueECS Meeting AbstractsSame topicCrystal Structures and PropertiesFrench-language works237,207