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Enregistrement W2325808289 · doi:10.1021/jp510234f

Theory, Substantiation, and Properties of Novel Reversible Electrocatalysts for Oxygen Electrode Reactions

2015· article· en· W2325808289 sur OpenAlexaff
Jelena M. Jakšić, Feihong Nan, Γεώργιος Παπακωνσταντίνου, Gianluigi A. Botton, Milan M. Jakšić

Notice bibliographique

RevueThe Journal of Physical Chemistry C · 2015
Typearticle
Langueen
DomaineEnergy
ThématiqueElectrocatalysts for Energy Conversion
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésElectrocatalystChemistryDissociation (chemistry)Reversible hydrogen electrodeCatalysisRedoxOxygen evolutionInorganic chemistryOxideMoleculeElectrodeElectrochemistryPhysical chemistryWorking electrodeOrganic chemistry

Résumé

récupéré en direct d'OpenAlex

Hypo-d–(f)-oxides of transition elements (d ≤ 5) usually feature decisive and highly pronounced effects of spontaneous adsorptive dissociation of water molecules, as the main and initial thermodynamic precondition state for the reversible latent storage and spillover properties of primary oxides (Pt–OH, Au–OH), otherwise indispensable ingredients in electrocatalysis for the oxygen electrode reactions. The higher the altervalent number (or capacity) of the former, and when mostly further advanced for the proper mixed valence hypo-d–(f)-oxide supports, the higher the overall (electro)catalytic yields primarily for cathodic oxygen reduction (ORR) and its anodic evolution (OER). In fact, cyclic voltammetry revealed the interrelated redox properties of the primary (Pt–OH) and surface (Pt═O) oxides between the cathodic hydrogen and anodic oxygen evolving limits, though the former has already been for longer known as the intermediate state from hydrogen oxidation in heterogeneous Doeberriner reaction upon Pt catalyst, and as being water molecules self-catalyzed (Ertel). Such interfering interrelated and autocatalytic species substantially define electrocatalytic properties of plain (Pt) or noninteractive supported noble metals (Pt/C), along the potential axis, and within some range even make them highly polarizable. Meanwhile, the latter can be continuously and successfully electrocatalytically depolarized and maintained reactivated. Such spontaneously renewable activation and maintenance of the reversible electrocatalytic state for the oxygen electrode reactions all along such cyclic voltammograms is the main Sir William Grove target challenge of the present study. In such a respect, continuously and spontaneously renewable adsorptive water molecule dissociation effectively means and enables the latent storage and electrocatalytic spillover properties of the primary oxide(s) for the reversible oxygen electrode (ROE) behavior, and these have been identified and substantiated, back and forth, all along the potential axis between hydrogen and oxygen evolving limits. Such advanced electrocatalytic properties imply selective grafting of interactive (SMSI, strong metal–support interaction) nanostructured hyper-d-Pt (Au, RuPt) clusters upon individual and/or preferably composite mixed valence hypo-d–(f)-oxide supports. The latter then feature the extra high stability, pronounced electronic conductivity, and many other d-electronic-based metal properties mostly arising and being established upon the hypo–hyper-d–d–(f)-interelectronic bonding effect, along with and based upon spontaneous dissociative water molecule adsorption upon exposed oxide support surfaces, thereby yielding renewable primary oxide latent storage by simple continuous water vapor supply and imposed characteristic membrane type hydroxide ion surface migration. Migrating hydroxide, as individual species, under imposed polarization transfers its prevailing part of electron to the metallic electrocatalyst, hence resulting as the Pt–OH (Au–OH) dipole, and by the surface repulsion obeys reversible spillover distribution and imposes the electrocatalytic ROE properties all over the catalyst surface and DL pseudocapacitance charging and discharging, as well. The strong adsorptive surface oxide (Pt═O → 1) deposition out of the primary oxide (Pt–OH → 0) irreversible disproportionation thereby imposes unusually high reaction polarization of Pt, Au, Pd, and all other noble and transition d-metals within a very broad (600 mV, and even broader) potential range and, thereby, in general, mostly pronounced polarizable noncatalytic properties for oxygen electrode (ORR, OER) reactions. Thus, the strong interactive and selective hypo–hyper-d–d-interelectronic grafting bonding of nanostructured individual (Pt) or prevailing hyper-d-intermetallic phase (MoPt 3; HfPd 3 ) cluster catalysts on altervalent and mixed-valence hypo-d–(f)-oxide supports, as substantially and typically based upon the metallic d–d- or d–f-interelectronic bonding strengths and SMSI features, provide and keep just inferred basically all (inter)metallic properties of composite electrocatalysts, the primary oxide latent storage, and enhanced spillover and thereby enable approaching their reversible (electro)catalytic properties and optimization for the ROE. The reversibly revertible alterpolar bronze behaves (Pt/H x NbO 5 ⇔ Pt/Nb(OH) 5, x ≈ 0.3) as the thermodynamic equilibrium alterpolar state, and thereby substantially advanced electrocatalytic properties of these composite interactive electrocatalysts for both oxygen (ORR, OER) and hydrogen (HOR, HER) electrode reactions, consequently, have been inferred as spontaneously altering and strong spillover features, in particular unique and superior for the revertible (PEMFC versus WE (water electrolysis)) cells.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,002
Communication savante0,0010,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,021
Tête enseignante GPT0,235
Écart entre enseignants0,214 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
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

Citations18
Publié2015
Routes d'admission1
Résumé présentoui

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