(Invited) Platinum Group Metal-Free Oxygen Reduction Reaction Electrocatalysts from Fe-N-C Family: Activity, Durability and Manufacturability
Notice bibliographique
Résumé
PEM fuel cells have been recognized as one of the most promising candidates for motive and stationary power source. Among the PGM-free catalysts known today, Fe-N-C catalysts (especially made by high temperature pyrolysis) are considered the most viable candidates for platinum substitution from cathode side of fuel cell. There are several ways for synthesis of highly active M-N-C electrocatalysts which involved dispersion of organic N-C precursor and metal salts on support (carbon, MOF or silica), followed by high temperature pyrolysis and post pyrolysis treatments. Among them imidazole-based materials have been the most promising. In this talk we will describe GPGM-free catalysts materials derived from imidazoles using 3 different synthesis methods. The INRS team has developed a MOF-based Fe/N/C catalyst (synthesized using FeAc+Phen+ZIF-8 precursors) with catalyst initial mass activity of 10.6 mA/mg at 0.9 V and maximum initial performance (0.91 W/cm 2 ) [1]. The long term stability of the catalyst was also evaluated and compared with the best literature value (LANL catalyst, which was measured at 0.4 V and 80 o C) [2]. As shown earlier by the Mukerjee group at NEU, encapsulation of Fe chelates within the confines of a MOF as a part of wet chemical synthesis results in formation of highly active and durable M-N-C electrocatalysts [3]. This presentation will provide synthetic, mechanistic and steady state polarization results measured both at a PEM and PAFC single cell. Some aspects of durability and immunity towards anions will also be presented. The UNM team used Sacrificial Support Method (SSM) for preparation of highly active electrocatalysts derived from different imidazole precursors. The influence of imidazole precursors, SSM synthetic parameters (number of post treatments, duration of treatment, heat treatment temperature etc) on the final activity of ORR electrocatalysts was studied in Rotating Ring Disc Electrode as well as in Membrane Electrode Assembly set ups [4-5]. Pajarito Powder performed an extensive R&D on scaling up of the Fe-N-C catalysts made from imidazole MOFs. Such parameters, which will influence the catalyst activity and durability as heat treatment temperature, post treatment conditions, catalyst layer fabrication in MEA were optimized for the materials on the level of 25-50g per batch. It was shown that VariPore ™ allows to reproducibly synthesize commercial amount of ORR PGM-free catalysts with improved activity matching smaller lab scale batches and improve the durability of imidazole-derived catalysts [6]. [1] E. Proietti, F. Jaouen, M. lefèvre, N. Larouche, J. Tian, J. Herranz, J. P. Dodelet “Iron-based cathode catalyst with enhanced power density in polymer electrolyte membrane fuel cells”, Nature Communications 2 (2011) 416. [2] G. Wu, K.L. More,C.M. Johnston, P. Zelenay "High-performance electrocatalysts for oxygen reduction derived from polyaniline, iron, and cobalt" Science 332 (2011) 443-447. [3] K. Strickland, E. Miner, Q. Jia, U. Tylus, N. Ramaswamy, W. Liang, M.-T. Sougrati, F. Jaouen. S. Mukerjee "Highly active oxygen reduction non-platinum group metal electrocatalyst without direct metal–nitrogen coordination" Nature Comm. 6, Article number: 7343 (2015) [4] D. Sebastian, A. Serov, K. Artyushkova, J. Gordon, P. Atanassov, A. S. Arico, V. Baglio "High Performance and Cost‐Effective Direct Methanol Fuel Cells: Fe‐N‐C Methanol‐Tolerant Oxygen Reduction Reaction Catalysts" ChemSusChem 9 (15) (2016) 1986-1995. [5] D. Sebastian, A. Serov, K. Artyushkova, P. Atanassov, A. S. Arico, V. Baglio "Performance, methanol tolerance and stability of Fe-aminobenzimidazole derived catalyst for direct methanol fuel cells", J. Power Sources 319 (2016), 235–246. [6] A. Serov, M. J. Workman, K. Artyushkova, P. Atanassov, G. McCool, S. McKinney, H. Romero, B. Halevi, T. Stephenson "Highly stable precious metal-free cathode catalyst for fuel cell application", J. Power Sources 327 (2016) 557-564.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».