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Enregistrement 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 sur OpenAlexaff
Ge Li, Xiaolei Wang, Zhongwei Chen

Notice bibliographique

RevueECS Meeting Abstracts · 2016
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueBanana Cultivation and Research
Établissements canadiensUniversity of Waterloo
Organismes subventionnairesnon disponible
Mots-clésMaterials scienceCatalysisElectrocatalystOxygen evolutionAnodeNanotechnologyBattery (electricity)Energy storageElectrochemistryChemical engineeringBifunctionalChemistryElectrode

Résumé

récupéré en direct d'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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,049
Score d'incertitude au seuil0,180

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,041
Tête enseignante GPT0,246
Écart entre enseignants0,206 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

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