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Enregistrement W3214151346 · doi:10.1149/ma2021-02451373mtgabs

Determination of Au and Pt Current Collector Activity to Avoid Interference in the Screening of Metal Oxide Catalyst Activity in SOECs

2021· article· en· W3214151346 sur OpenAlexaff
Mykhailo Pidburtnyi, Haris Masood Ansari, Viola Birss

Notice bibliographique

RevueECS Meeting Abstracts · 2021
Typearticle
Langueen
DomaineMaterials Science
ThématiqueAdvancements in Solid Oxide Fuel Cells
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésCatalysisElectrolysisMaterials scienceElectrolyteOxideCurrent collectorChemical engineeringNoble metalMetalInorganic chemistryIonic bondingElectrodeChemistryMetallurgy

Résumé

récupéré en direct d'OpenAlex

Since solid oxides electrolysis cells (SOECs) represent a promising technology for efficient CO 2 conversion to useful chemical products, there is a demand for durable, highly active, and inexpensive electrode materials for use in these systems. Many metal oxide catalysts suitable for CO 2 reduction have been studied, including La 0.3 Me 0.7 Fe 0.7 Cr 0.3 O 3-δ (Me = Ca, Sr; LMFCr), developed by our research group. These catalysts have comparable activity and are much more stable than conventional metal-ionic conductor cermets, known for coke formation and sulfur poisoning. However, while observed catalyst stability can be easily compared for different materials, their activity is harder to differentiate. This is because the overwhelming majority of materials tested are porous in nature, thus making their true active area unknown. To avoid this issue, we are working on determining LMFCr activity and the CO 2 reduction mechanism using thin, smooth catalyst layers, obtained by pulsed laser deposition on a YSZ-(001) electrolyte, then using noble metals as the current collector. Preliminary studies of current collector-LMFCr thin film-CO2/CO combinations suggest that the current collector/LMFCr interfaces may have an electrochemical activity that would contribute measurably to that of the LMFCr-gas dual phase boundary interface. Assuming that the metal/LMFCr interface activity would be similar to that at the metal/ionic conductor triple phase boundary, the goal of the present work is to determine the catalytic activity of both Pt and Au, which are the most common current collector materials used in fuel environments, towards the CO 2 reduction reaction, with the activity of these metal/YSZ interfaces toward oxygen reduction used as a reference. Two different full cell configurations were used in this work. In one direction, porous Au or Pt layers were produced by metal paste deposition onto both sides of the YSZ electrolyte and then sintered at 600°C. A polymeric YSZ precursor was then infiltrated into the porous metal backbone and sintered at 750°C to form the YSZ phase. To ensure that the counter was as non-polarizable as possible, Pt in air was chosen due to its high activity in oxygen-containing environments, while also depositing it over 5X the area and ensuring 2X the thickness of the catalyst layer at the working electrode. In the porous electrode configuration, the working electrode was exposed to the testing gas, while the counter electrode was exposed in air to achieve as high an activity as possible. In the second configuration, 0.3 mm thick Pt or Au wires were attached to a 250 µm thick YSZ electrolyte to form a point-contact working electrode. A porous LSM-YSZ composite with a geometric surface area of 0.5 cm 2 was painted on the opposite side of the electrolyte to serve as the counter electrode, exposing it to the same gas as the working electrode. Electrochemical performance testing for both cell types was conducted in air and CO 2 environments at 750°C with a flow rate of 50 SCCM. Morphological and compositional investigation as well as microelectrode triple phase length determination was done using SEM and EDS elemental mapping. Analysis of the EIS and CV data for the porous electrodes showed that the Pt/YSZ and Au/YSZ electrodes are both active towards the oxygen and CO 2 reduction reactions. Au is less so, showing up to 40 times lower activity towards oxygen reduction and 3 times lower activity than for CO 2 reduction. This would imply that Au is the preferred current collector material for future electrochemical evaluation of metal oxide catalysts. However, SEM studies indicated that Pt and Au cells had different metal particle sizes, so the triple phase boundary length may be not comparable. In addition, the double layer capacitance, often used to estimate the triple phase boundary length, could not be used here due to the high surface inhomogeneity and distribution of time constants across these catalyst layers. To eliminate these issues, microelectrode studies are currently being conducted. Preliminary results show that Au/YSZ is at least 8 times less active in air and 60 times less active in the CO 2 environment than Pt/YSZ, with the activity of both of these electrodes controlled by precisely controlled triple phase boundary length determination via SEM. The cyclic voltammetry data also indicate that CO 2 reduction does not occur at Au/YSZ through the full potential range (0-1.6 V vs. the counter electrode), which also implies a very low catalytic activity of Au/YSZ. Further studies, including comparison with the porous composite electrode data, are underway. In addition, determination of the reaction steps is being carried out from EIS data equivalent circuit fitting as well as verification through the use of distribution relaxation times technique.

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)0,003
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,003
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,036
Tête enseignante GPT0,310
Écart entre enseignants0,274 · 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'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

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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