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Record W2588473723 · doi:10.1149/ma2015-02/3/258

A Bifunctional Air Electrode Catalyzed By Nano-Crystal Lead Ruthenate for Li-Air Batteries

2015· article· en· W2588473723 on OpenAlexaffabout
Xiao‐Zi Yuan, Mathieu Toupin, Wei Qu, Alexis Laforgue, Jason Fahlman, Max Jiang

Bibliographic record

VenueECS Meeting Abstracts · 2015
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsBifunctionalCatalysisInorganic chemistryPyrochloreMaterials scienceElectrocatalystRutheniumBifunctional catalystDissolutionAqueous solutionOxygen evolutionChemical engineeringElectrodeElectrochemistryChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

It has been recognized that the catalyst may have triple functions toward increasing the charge/discharge capacity, decreasing over-voltage and improving cyclability [1]. Many catalysts, such as various carbons, metal oxides, metal nitrides, metal carbides, and precious metals, have been extensively studied and applied to the air electrode and catalysis has become one of the hottest topics for Li-air batteries. The commonly used carbon materials are, basically, good for catalyzing the oxygen reduction reactions (ORRs), however, they are insufficient for the oxygen evolution reactions (OERs). To promote both ORRs and OERs numerous efforts have been made. In particular, transition metal oxides with a perovskite, spinel or pyrochlore structure have been investigated due to their low cost, good catalytic activity and natural abundance. In this study, we report a nano-crystal lead ruthenate as a bifunctional electrocatalyst for non-aqueous Li-O2 batteries. The performance of the pyrochlore was studied in terms of morphology, polarization and cyclability. The nano-crystal lead ruthenate was synthesized using ruthenium(III) nitrosyl nitrate and lead sub-acetate, which is similar to the method described by Nazar et al. [2]. The precursor solution was prepared by dissolving ruthenium(III) nitrosyl nitrate and lead sub-acetate in deionized water and then 2 M aqueous NaOH solution was added. The resultant solution was stirred for 3 h at 25 °C followed by the addition of sodium hypochlorite solution, and the mixture was stirred for an additional 24 h. The product was then filtered and dried in a vacuum oven at 100 °C to form nano-crystal lead ruthenate. The synthesized catalyst was characterized by X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET) surface area analysis and Scanning Electron Microscopy (SEM). Air electrodes were fabricated by applying a catalyst ink on Ni foam or carbon paper. The catalyst ink contains catalyst/Ketjen black (KB), polytetrafluoroethylene (PTFE), and solvent. The composition of the KB supported catalyst is 30% catalyst and 70% KB. For comparison, electrodes with KB only were also made. Cell tests were carried out using ECC-AIR cells (EL-Cell, Germany) with an active diameter of 18mm and conducted on a Solartron Analytical 1470E system. All cell performance was measured in tetraethyleneglycol dimethyl ether (TEGDME) containing 1M lithium triflate under pure O2. All the capacities are calculated based on the weight of catalyst plus carbon support. The XRD pattern of the synthesized material indicates that the characteristic diffraction peaks correspond to the literature data [2], which can be readily indexed to the pyrochlore Fd-3m space group with a cubic lattice. SEM images show that the synthesized material is composed of aggregated nanocrystallites. The performance of the lead ruthenate/KB air electrode on carbon paper was carried out at different current densities. To demonstrate its catalytic activity, the performance of KB on carbon paper was also conducted. At a current density of 0.2 mA cm-2, although the lead ruthenate/KB electrode does not exhibit higher discharge/charge capacities, it has a lower charge plateau and higher columbic efficiency. As the charge/discharge rate increases to 0.5 mA cm-2, catalytic effect of the lead ruthenate is apparent as opposed to the KB baseline. Compared to the KB baseline, the lead ruthenate/KB electrode also exhibits impressive cyclabilities with negligible capacity loss after 5 cycles of complete charge/discharge. Results of the prepared nano-crystal lead ruthenate air electrode on Ni foam also shows greatly improved recharge behavior and cyclability. In summary, preliminary results have demonstrated that the nano-crystal lead ruthenate has the potential to be used as an efficient bifunctional electrocatalyst for non-aqueous Li-O2 batteries. Further investigations are ongoing to optimize this catalyst. The comprehensive study will be presented at the conference. Acknowledgements This work is financially supported by the Natural Resources Canada’s ecoENERGY Innovation Initiative (project ETRI-006). References [1] A. Kraytsberg, Y. Ein-Eli, J. Power Sources, 196: 886–893, 2011 [2] S. H. Oh, R. Black, E. Pomerantseva, H. –H. Lee, L. f. Nazar, Nature Chemistry, 4:1004-1010, 2012

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 score0.001
Threshold uncertainty score0.003

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.224
Teacher spread0.211 · 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
Published2015
Admission routes2
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