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Record W4300597847 · doi:10.1149/ma2016-02/40/3048

Pomegranate-Inspired Design of Highly Active and Durable Bifunctional Electrocatalysts for Rechargeable Metal-Air Batteries

2016· article· en· W4300597847 on OpenAlexaff
Ge Li, Xiaolei Wang, Zhongwei Chen

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBanana Cultivation and Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceCatalysisElectrocatalystOxygen evolutionAnodeNanotechnologyBattery (electricity)Energy storageElectrochemistryChemical engineeringBifunctionalChemistryElectrode

Abstract

fetched live from OpenAlex

The fast depletion of fossil fuels and severe deterioration of ecology have stimulated extensive research on the utilization and storage of clean and sustainable energy. Among various energy storage technologies, rechargeable metal-air batteries possess the highest energy density, making them excellent candidate for next generation electrical vehicles (EVs) and hybrid electrical vehicles (HEVs). In metal-air batteries, a metal anode is coupled with an air-breathing cathode that utilizes oxygen from the atmosphere as the reactant for the electrochemical reactions. Discharging and charging processes occur driven by the electrocatalytic oxygen reduction reaction (ORR) and oxygen evolution reduction (OER). The major challenge associated with the commercialization of metal-air batteries resides in the sluggish kinetics of the ORR and OER resulting in large overpotentials. Therefore, developing efficient electrocatalyst with high catalytic activities is of great importance for high performance metal-air batteries. Precious metal-based catalysts such as platinum (Pt), palladium (Pd), iridium (Ir) and alloys have been intensively studied showing superb catalytic properties and have been widely accepted as the most active electrocatalysts. Unfortunately, the scarcity and electrochemical instability of these catalysts have prevented their widespread use due to extremely high costs and unsatisfactory durability. Nonprecious transition metals (e.g. Fe, Co, Ni, Mn) and perovskite-based catalysts have been extensively explored. However, they suffer from inefficient catalytic activity due to self-accumulation and intrinsically poor electrical conductivity. To address these challenges, nanostructured materials with various morphologies (e.g. nanoparticles, nanowires, nanosheets, nanotubes) have been designed for effective exposure of catalytic planes and enhanced diffusion of reactive species, while conductive carbon materials (e.g. carbon nanotubes (CNTs) and graphene) are often introduced into catalysts to increase the conductivity and structural stability. For example, Co 3 O 4 nanocrystals/reduced graphene oxide bi-functional catalyst exhibits unusual catalytic activity attributed to the synergetic chemical coupling effects. Despite numerous studies, rational design strategy and efficient development of desired high-performance electrocatalysts is yet limited. An efficient electrocatalyst is expected to (i) exhibit high catalytic activity with a large amount of active sites for ORR and OER processes; (ii) possess sufficient mass transfer pathways for fast electrode kinetics; and (iii) be chemically stable with robust material and/or electrode architecture for high durability. Herein, we demonstrate the development of pomegranate-like electrocatalysts based on transition metal oxide nanocrystals embedded nitrogen-doped partially graphitized carbon framework with excellent catalytic activity for ORR and OER and outstanding durability. Nitrogen-doped has been reported to remarkably accelerate OER process by participating in the electrocatalytic reaction. To demonstrate the design concept, cobalt oxide (Co 3 O 4 ) is chosen as a model material due to its abundance and theoretically high electrocatalytic activity. The Co 3 O 4 nanocrystals embedded nitrogen-doped partially graphitized carbon framework (Co 3 O 4 /NPGC) with unique pomegranate-like composite architecture provides several major advantages: (i) low dimension of highly active Co 3 O 4 nanocrystals seeds possess active sites for electrochemical reactions; (ii) the pomegranate-like structure efficiently prevents the metal oxide from self-accumulation and provide the mass transfer pathways, which further maintains the catalytic activity; (iii) graphitized carbon shell and framework is not only highly conductive which significantly increases electrical conductivity, but also chemically stable and highly robust which enhances the catalyst durability. Benefiting from the unique pomegranate-like architecture, the Co 3 O 4 -based composite electrocatalyst exhibits a high half-wave potential of 0.842 V for ORR, and a low overpotential of only 450 mV at the current density of 10 mA cm -2 for OER. Single-cell zinc-air battery is also fabricated with superior durability, holding great promise in the practical implementation of rechargeable metal-air batteries. Figure 1

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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)0.001
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 score0.049
Threshold uncertainty score0.180

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.041
GPT teacher head0.246
Teacher spread0.206 · 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".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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