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Record W2307359623 · doi:10.1149/ma2016-03/1/37

In Operando Studies for the Strategic Development of High Performance Lithium/Sulfur Batteries

2016· article· en· W2307359623 on OpenAlexaff
Chi-Su Kim, Hugues Marceau, Pierre Hovington, Wen Zhu, Andrea Paolella, Abdelbast Guerfi, Ashok K. Vijh, Karim Zaghib

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsElectrolyteRaman spectroscopyNanotechnologyBattery (electricity)Chemical engineeringMaterials scienceChemistryElectrodePhysical chemistryThermodynamicsPower (physics)

Abstract

fetched live from OpenAlex

Li-S battery has attracted intensive attentions during the past decades as a strong candidate that may overcome the limit of current lithium-ion battery technology. In spite of its promises, a number of challenges still remain unsolved hindering the commercialization of Li-S batteries in near future, especially for the EV applications. It is generally accepted that the technical problems of Li-S battery are related with the intrinsic nature of conversion reactions, like low conductivity, poor diffusivity and significant morphology change, along with the unique properties of sulfur chemistry which include high solubility and strong reactivity of polysulphide species in organic solvents. However, fundamental mechanisms behind the limited performance of Li-S batteries are not fully understood and remain controversial according to the analytical methods and the specific experimental conditions. Since the charge-discharge electrochemical reaction in Li-S batteries involves complicated chemical reactions in bulk electrolyte, ex-situ analysis does not reflect the actual situation inside the battery, due to the rapid re-equilibrium of the reaction species during the sample preparation process and even during the observation period. Moreover, high volatility of elemental sulfur (S8) often leads to the misinterpretation of characterization results which are obtained in the vacuum condition or with high temperature treatment. In this study, Li/S cells were investigated with operando techniques using Scanning Electron Microscope (SEM), Ultraviolet-Visible absorption spectroscopy (UV-Vis) and Raman spectroscopy. All-solid-state polymer electrolytes were employed to design the operando cells, which allowed a real time observation of SEM images and a speciation by UV-VIS and Raman without needs for the solvent dilution. The operando SEM successfully visualizes the cross-section of Li/S polymer cell and reveals the evolution of morphology changes with cycles, as well as the aging mechanism including the migration of sulfur species and irreversible loss of active materials out of the cathode electrode. Appearance of elemental sulfur is clearly observed beyond 2.3V in the middle of charge process. The non-destructive operando UV-VIS spectroscopy demonstrates the evolution of characteristic absorption bands with progress of discharge and charge, and shows the accumulation of soluble sulphides in the electrolyte, not only high order polysulfides but also less soluble Li2S, over cycling. The inverse relationship between the intensity of S4 2- and S6 2- bands in UV-VIS spectroscopy implies that the charge and discharge reactions take place through different pathways; the formation of S4 2- is prominent during discharge and shuttle reactions, while S6 2- is more prevailing during charge.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.251
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), 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 routes1
Has abstractyes

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