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Enregistrement W4412541563 · doi:10.1149/ma2025-01422281mtgabs

(<i>Invited) </i>Mesoporous Carbon Powders and Self-Supported Scaffolds for Electrochemical Energy Storage and Conversion Applications

2025· article· en· W4412541563 sur OpenAlexaboutno aff
Viola Birss

Notice bibliographique

RevueECS Meeting Abstracts · 2025
Typearticle
Langueen
DomaineMaterials Science
ThématiqueSupercapacitor Materials and Fabrication
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésElectrochemical energy storageMaterials scienceMesoporous materialElectrochemistryEnergy storageCarbon fibersNanotechnologyChemical engineeringSupercapacitorChemistryElectrodeComposite materialEngineeringCatalysisOrganic chemistryComposite numberPhysicsPower (physics)

Résumé

récupéré en direct d'OpenAlex

Improving the composition, nanostructure, and activity of electrodes and supported electrocatalysts used in catalyst layers is critical to both understanding and making positive step changes in the performance and durability of electrochemical devices, including fuel cells and electrolysis cells, as well as batteries and capacitors. In most cases, the catalyst layers (or active layers) must be porous and have a high surface area, while also being conducting (usually both ionically and electronically) and as stable as possible, especially considering the often aggressive oxidative/reductive conditions encountered during device operation. As part of the quest particularly for high performance electrocatalysts, we have developed a novel family of nano-templated carbon materials, with carbon being a ubiquitous material that is a key component in almost all electrochemical energy conversion/storage systems. However, most carbons are microporous in nature and thus their internal surface area cannot be easily accessed. They are also usually used in powder form, requiring binders to hold the particles together, which then can lead to surface and channel blockage and even poisoning of catalytic sites. Furthermore, packing carbon particles together with a binder leads to uncontrolled tortuosity in the pores and channels between the particles, resulting in mass transport limitations. To overcome as many of these problems as possible, we have been developing a family of mesoporous carbon powders that have organized and tunable internal pore sizes (colloid imprinted carbons, CICs) and are ~90% porous. More recently, we have been able to produce the analogous material with monodisperse mesopore diameters, but in the form of a binder-free, 100% carbon, self-supported, nanoporous carbon scaffold (NCS), or sheet. In another direction, we have prepared a parallel family of materials but with an ordered bimodal pore structure (BCS, ‘ball and stick’ nanostructure), containing 0.2 to 0.8 um spheres that are saturated with ordered, 3-D-interconnected mesoporous. These spheres are held together with carbon nanofibers, with large secondary pores between the spheres facilitating mass transport. All of these materials have been produced using a hard-templating method, using colloidal silica powder with particles of a single controlled size (5 to 100 nm) and then thermally imprinting the close-packed silica structure that forms after solvent evaporation with mesophase pitch. These composites are then carbonized, followed by silica removal, resulting in a templated morphology with pores of the same size as the silica particle size used to produce them. For PEMFC cathode applications, Pt nanoparticles (NPs) can be easily loaded into the carbon scaffold materials, including via atomic layer deposition, where the excellent line-of-sight microstructure resulting from the organized carbon pores makes the scaffolds nearly ideal for ALD purposes. The result is excellent Pt NP dispersion and controllable Pt NP size, resulting in high electrochemical surface areas, as determined both in aqueous solutions and MEA testing. These cathodes exhibit highly competitive oxygen reduction kinetics, shown especially by the BCS under kinetically-controlled conditions at high cell voltages. The durability of Pt within these cathodes has also been found to be exemplary, as the proximity of the Pt catalyst and the Nafion ionomer can be well-controlled, while the highly defective internal surfaces of these carbons serve to stabilize the Pt NPs against dissolution and agglomeration. Our mesoporous carbon powders and scaffolds are also being investigated for electrochemical CO 2 reduction after heteroatom surface-doping with nitrogen, giving an estimated internal surface coverage of roughly 20 at% N. Because of the ordered and highly reproducible carbon backbone in the CIC powders and also in the NCS and BCS sheets, this has allowed the development of a robust property-structure-performance relationship between the morphology, surface properties, and defect chemistry of N-doped carbons and the kinetics and selectivity of CO2 reduction to form CO. Also, the subsequent attachment of single Fe atoms to the N-doped mesoporous carbons has resulted in the best durability during CO 2 reduction yet reported. Notably, the mesoporous carbon scaffolds are expected to be ideal for flow-through and MEA testing of the CO2RR process at larger scale. The NCS and BCS materials have also been used as flow-through electrodes in redox-flow batteries and as a model materials for the study of imbibition of fluids into nanoporous structures. Because of the many applications of both the mesoporous carbon powders and self-supported carbon scaffolds, they are being developed further by Momentum Materials in Calgary.

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)0,000
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 enseignants0,010
Score d'incertitude au seuil0,625

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
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 Opus0,006
Tête enseignante GPT0,218
Écart entre enseignants0,212 · 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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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