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Record W2345707876 · doi:10.1149/ma2016-03/2/1232

Coupling Hierarchical Sulfur Composites with in-situ Cross-linked Binder to Build Stable High-areal-capacity Sulfur Cathodes

2016· article· en· W2345707876 on OpenAlexaff
Quanquan Pang, Linda F. Nazar

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSulfurCathodePolysulfideElectrolyteMaterials scienceDissolutionLithium–sulfur batteryAnodeChemical engineeringElectrodeElectrochemistryPorosityComposite materialChemistryMetallurgy

Abstract

fetched live from OpenAlex

Lithium-sulfur battery is considered one of the most promising electrochemical system for energy storage, owing to the high theoretical energy density (2600 kWh/kg) and the natural abundance of sulfur. Their practical challenges facing commercial viability lie in the insulating feature of the end-products (S and Li2S), lithium polysulfide dissolution and shuttling between electrodes and random precipitation of Li2S from the dissolved polysulfides. This leads to rapid capacity fading over long-term cycling and relatively low sulfur utilization. This becomes even more problematic for high sulfur loading cells, since the large concentration of dissolved polysulfides can not only lead to uncontrolled precipitation of Li2S that eventually clog the cathodes, but also to increased side-reactions with lithium anodes. Great efforts have been made to address these issues with a focus on the cathode materials, but mostly thin electrodes with sulfur loadings below 2 mg/cm2.[[1]] In order to fabricate high-loading Li-S cells, recently reported approaches are to construct 3D conductive framework composed of graphene or carbon nanofibers. However, one intrinsic problem is the high porosity of the 3D architecture usually requires large volume of electrolyte, leading to high electrolyte/sulfur ratio and thus low volumetric energy density. Therefore, developing high loading electrodes using traditional slurry-based process is critical for practical applications.[[2]] Here we will present a multifaceted strategy to construct stable and high sulfur loading cathodes based on the traditional slurry processing, by coupling a hierarchical sulfur composite with in-situ cross-linked polymer. We incorporated our previously reported highly nitrided material with conductive framework. A light-weight, electrically conductive and highly porous hybrid was thus obtained. The hybrid material exhibit a micrometer sized structure, which is beneficial to fabricate crack-free thick electrodes. This is due to the enhanced connection between individual particles even with lower percentage of binder compared to nanoparticles with low tap density. The XPS survey spectrum shows the presence of a high concentration of nitrogen at 19.9 at%. Our first-principles calculations show that our hybrid has a much higher polysulfide binding energy towards than functionalized polymer or doped carbons. We will further present an integrated cathode enabled by in-situ cross-linked binder and a combination of CNTs and Super P carbon additives. The inter-particle electronic connection is greatly enhanced. Fourier transform infrared spectroscopy (FTIR) confirms the successful cross-linking. The low-magnification SEM images clearly shows that on contrary to the large cracks in the PVDF based electrodes (formed upon evaporation of the slurry solvent), the cross-linking binder based electrode surface is flat and compact, without any cracks. It is worth noting that such an integrated structure was achieved with as low as 5 wt% of binder, which greatly increases the gravimetric energy density. We demonstrate that cathodes with sulfur loading up to 15.0 mg/cm2 have been fabricated with stable cycling performance. Insights into the evolution of the impedance will also be presented. References [1] Liang, X.; Hart, C.; Pang, Q.; Garsuch, A.; Weiss, T.; Nazar, L. F. A Highly Efficient Polysulfide Mediator for Lithium−Sulfur Batteries .Nat. Commun.2015, 6, 5682. [2] Rosenman, A.; Markevich, E.; Salitra, G.; Aurbach, D.; Garsuch, A.; Chesneau, F. Review on Li-Sulfur Battery Systems: an Integral Perspective.Adv. Energy Mater.2015, 10.1002/aenm.201500212

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.238
Teacher spread0.222 · 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".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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